Archives: Press

PALO ALTO, CA – April 22, 2019 – Striim, provider of an enterprise-grade platform for streaming data integration, announced today that it has been recognized as a Top 10 2019 Best Place To Work in the Bay Area, an awards program presented by the San Francisco Business Times and the Silicon Valley Business Journal. Striim ranked the #7 Best Place to Work among companies with less than 100 employees in the Bay Area.

“We’re thrilled to be included on the San Francisco Business Times and Silicon Valley Business Journal’s Best Places to Work list for the third year in a row as a top 10 company,” said Katherine Rincon, SVP of Marketing at Striim. “While we’re very passionate about Striim’s streaming data integration technology, we have that same drive for making the company a fun and collaborative work environment. It’s great to see that it continues to translate well as our company grows.”

Select employers from the Bay Area, including Striim, were named winners at the Best Places to Work annual award ceremony, held on April 18, 2019. These winning organizations were honored for having created exceptional workplaces that their employees value highly.

Award applicants were evaluated and ranked across 5 categories according to the number of Bay Area employees. The ranking found companies in the region whose employees rate them as the highest on such values as fun, collaborative culture, solid compensation and benefits offerings and other amenities, as well as management practices.

About Striim

The Striim^®platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud and other targets. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support a modern cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.  

About 2019 Bay Area Best Places to Work 

Best Places to Workis an innovative publication and awards program produced by the San Francisco Business Times and the Silicon Valley Business Journal. The rankings were determined by surveys that went directly to employees who answered a series of questions. The survey was administered online by the employers and through a service provided by Quantum Workplace, our research partner.  The rankings are numeric based on Quantum’s scoring process.  By ranking companies and sharing best practices we facilitate idea sharing and help other companies learn from the best.

PALO ALTO, CA – April 16, 2019 – Striim^®, provider of an enterprise-grade platform for streaming data integration, today announced a strategic partnership with Snowflake, Inc., the data warehouse built for the cloud, to simplify and speed loading of real-time data to Snowflake, accelerating data-driven analytics in the cloud.

Striim’s real-time data integration capabilities provide Snowflake customers running in Microsoft Azure or AWS the benefit of a phased migration to Snowflake from existing on-premises or cloud-based data warehouses, databases, and other data sources. One such customer, a company offering HR solutions, is using Striim and Snowflake on Azure to deliver real-time data, advanced analytics, and streamlined operations.

Joint customers such as this business benefit from the speed, scalability, and cost-effectiveness of Snowflake’s zero-management, cloud-built data warehouse. With Snowflake, analytics that used to take hours, or even days, can be delivered in minutes, and the data warehouse can scale up and down on-the-fly, without delay or disruption. Snowflake’s cloud-built architecture delivers a level of flexibility and efficiency that simply isn’t possible with a traditional data warehouse, or with a big data platform that has been shifted to the cloud.

“We are delighted to partner with Striim for their streaming ETL capabilities. With Striim, Snowflake customers can ingest a wide range of real-time data in a consumable format to feed rich analytics,”Snowflake’s Vice President of Alliances, Walter Aldana said. “Striim’s built-in scalability, security, and reliability bridges the adoption of Snowflake for time-sensitive, operational decision making.”

For continuous data loading to Snowflake, Striim powers ingestion of real-time data from major enterprise databases using low-impact change data capture (CDC). As an enterprise-grade platform, Striim supports extremely large data volumes with built-in security and reliability. In addition, Striim’s in-flight processing, denormalization, and transformations further help Snowflake customers speed time-to-analysis by feeding data continuously to Snowflake in the right format.

“Striim and Snowflake share a mission to enable every organization to be data-driven. However, to be data-driven, companies must first gain access to the data by building the real-time data pipelines that can continuously feed their analytics and reporting,” said Alok Pareek, co-founder and EVP of Products at Striim. “By making it easy to build streaming data pipelines to load real-time data to Snowflake, Snowflake customers can more quickly enable their modern data management, data warehousing, and data analytics initiatives. We are thrilled to be a strategic partner with Snowflake in this effort.”

Striim makes it easy to load data to Snowflake from data warehouses (including Oracle Exadata, Teradata, Amazon Redshift, Netezza), databases (including Oracle, SQL Server, HPE NonStop, MongoDB, Amazon RDS, PostgreSQL, MySQL), log files from security devices and other systems, sensors, messaging systems, and Hadoop solutions. For more information on the combined Snowflake-Striim solution, please visit www.striim.com/snowflake.

About Striim:

The Striim^®platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud and other targets. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support hybrid cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit www.striim.com, read our blog at www.striim.com/blog,  follow @striimteam, or download the Striim platform.  

Striim Solution to Accelerate Scalable Database Adoption on Google Cloud Platform

PALO ALTO, CA – April 9, 2019 – Striim^®, provider of an enterprise-grade platform for streaming data integration with intelligence, announced today that it has entered into a partnership with Google Cloud to offer a database migration service to facilitate moving data into databases running on Google Cloud Platform. This migration service simplifies database migrations by enabling streaming data pipelines from multiple open source and commercial databases –including Oracle, Microsoft SQL Server, PostgreSQL, and MySQL – to cloud databases – including Google Cloud SQL for PostgreSQL and MySQL, as well as Google Cloud Spanner.

There is significant demand for database migrations to the cloud as shifting workloads to the cloud becomes a core requirement for next-generation data initiatives. Particularly for databases supporting mission-critical applications, avoiding downtime is a key requirement during migrations to minimize both risk and operational disruption. Striim’s migration data pipelines allow online migrations where mission-critical applications continue running without incurring downtime, while data is continuously replicated between on-premises and cloud databases.

Striim offers an enterprise-grade, real-time database migration service to streamline the movement of real-time data to Google Cloud databases. Launched today at Google Cloud Next ’19 in San Francisco, this service is now available for Google Cloud customers.

“Striim’s partnership with Google Cloud on migrations is already seeing strong demand, with current implementations across financial institutions, healthcare, and transportation sectors,” said Alok Pareek, Founder and EVP of Products for Striim. “With this offering, our aim is to make the availability and on-boarding of the migration server as easy as possible for Google Cloud customers. Striim’s expertise in mission-critical database replication and migrations with transactional consistency, and built-in recovery for failure handling, allow for zero-downtime migrations, phased migrations, and risk-free cutover to the cloud database post migration.”

“As organizations modernize their data infrastructure, migrating mission-critical databases is essential to ensure information is accessible, valuable, and actionable. We are partnering with Striim to support our customers with a smooth database migration journey to Google Cloud,” said Manvinder Singh, Head of Infrastructure Partnerships, Google Cloud. “Striim brings decades of expertise in enterprise-scale migrations to power this database migration service, and further drive adoption of GCP’s database services.”

Striim offers this database migration service directly, or through the Google Cloud Platform (GCP) Marketplace: 

Real-Time Integration to Cloud SQL for PostgreSQL
https://console.cloud.google.com/marketplace/details/striim/striim-postgressql

Real-Time Integration to Cloud SQL for MySQL
https://console.cloud.google.com/marketplace/details/striim/striim-mysql

Real-Time Data Integration to Spanner
https://console.cloud.google.com/marketplace/details/striim/striim-spanner

For more information about Striim’s database migration service for Google Cloud Platform, please visit https://www.striim.com/partners/google-cloud-platform/, or provision Striim on the GCP Marketplace.

About Striim

The Striim^®platform is an enterprise-grade streaming data integration with intelligence solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest, process, and analyze high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support multi- and hybrid cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integrations. Striim collects data in real time from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors, and delivers to virtually any target on-premises or in the cloud with sub-second latency.For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform. 

PALO ALTO, CA – April 2, 2019 – Striim^®, provider of an enterprise-grade platform for streaming data integration, expanded its cloud adoption solution portfolio by announcing a platform as a service (PaaS) solution for real-time data movement to Google Cloud Spanner, available in the Google Cloud Platform (GCP) marketplace. Striim’s Real-Time Data Integration to Cloud Spanner offers online data migration and replication with guaranteed delivery and exactly once processing, as well as ongoing real-time data loading, all through comprehensive streaming data integration capabilities.

With Striim, Cloud Spanner users can quickly build highly reliable, scalable, and performant real-time data pipelines from on-premises and other cloud environments. Using non-intrusive, real-time change data capture (CDC), Striim continuously replicates transactions in other relational databases to Cloud Spanner with no performance impact or operations interruption.

Cloud Spanner users require streamlined, low-risk database migration to support enterprise grade, mission-critical applications. Striim’s real-time data migration capabilities enable Cloud Spanner customers to move data securely from existing on-premises or cloud-based relational databases (such as Oracle, SQL Server, HPE NonStop, MySQL, PostgreSQL) without database downtime or data loss.

“Google’s Spanner service offers global consistency and ACID transactions at scale. To migrate real-world production workloads from on-premises databases to Google Cloud Spanner, Striim’s built-in fault tolerance, scale-out architecture, exactly-once processing, and support for out-of-the-box connectors make it simple for enterprises to migrate data without incurring downtime or requiring extra development,” said Alok Pareek, Co-Founder and EVP of Products at Striim. “Striim enables businesses to use real-time, production data from critical transactional systems to Cloud Spanner, and easily move high-value workloads to GCP.”

Striim’s real-time data pipelines non-intrusively and continuously ingest high-volume, high-velocity data from on-prem and cloud-hosted data sources – including databases via CDC, log files, Kafka, sensors, Hadoop and NoSQL systems – and deliver it into Google Cloud Spanner.

Striim also performs data processing – such as filtering, aggregations, transformations, masking, and enrichment – in real time, as the data is streaming, to deliver highly consumable data to Cloud Spanner.

Striim’s streaming data pipelines can ingest data from a number of data sources, including:

• Database systems (ie, Oracle, SQL Server, MongoDB, PostgreSQL, MySQL, and HPE NonStop) using sophisticated non-intrusive Change Data Capture (CDC) technology
• Data warehouses (ie, Oracle Exadata, Teradata, and Amazon Redshift)
• Messaging Systems (ie, Kafka, JMS)
• Applications (ie, Salesforce), logs generated by applications, networks, and security systems
• Data generated by IoT systems (ie, MQTT, OPC-UA)

For ease of use, Striim offers an intuitive template-based user interface and SQL-based queries to streamline deployment of data pipelines on Google Cloud Platform.

To learn more about Striim’s PaaS offering for Google Cloud Spanner, please read the related blog post or provision Striim for Real-Time Data Integration to Cloud Spanner in the Google Cloud Marketplace.

About Striim:

The Striim^®platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support hybrid cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency.For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform. 

Palo Alto, CA, February 28, 2019 – Striim®, provider of an enterprise-grade platform for streaming integration, announced today that the company has been recognized as a 2019 Best Workplace in the Bay Area by FORTUNE and Great Place to Work®.

The ranking considered more than 30,000 employee surveys from companies across the San Francisco Bay Area. Great Place to Work, a global people analytics and consulting firm, evaluated more than 60 elements of team members’ experience on the job. These included the extent to which employees trust leaders, the respect with which people are treated, the fairness of workplace decisions, and how much camaraderie there is among the team.

Rankings are based on employees’ feedback and reward companies who best include all employees, no matter who they are or what they do for the organization. Striim took the no. 31 spot on the 2019 Best Workplaces in the Bay Area list.

“We are thrilled that Striim has been recognized by such a distinguished award as FORTUNE’s 2019 Best Workplaces in the Bay Area,” stated Katherine Rincon, SVP of Marketing at Striim. “It’s great to see that Striim’s efforts to create an environment that promotes respect, collaboration, and enablement have been so positively regarded by our employees.”

“Employers in the Bay Area face a competitive labor market as well as an incredible diversity of local and international talent attracted to its opportunities,” said Michael Bush, CEO of Great Place to Work. “Organizations like Striim stand out from the crowd, intentionally growing their businesses by creating great places to work for all, driving their innovation and success through their people.”

The Best Workplaces in the Bay Area is one of a series of rankings by Great Place to Work and FORTUNE based on employee feedback from Great Place to Work-Certified™ organizations. Striim also was ranked as a Best Small & Medium Workplace in the U.S. by Great Place to Work and FORTUNE.

To learn more about the Best Workplaces in the Bay Area award and Striim’s recognition, read our blog post, “Striim Recognized on FORTUNE’s ‘2019 Best Workplaces in the Bay Area’ List.”

About Striim
The Striim^® platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud), as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.   

About Great Place to Work
Great Place to Work® is a global people analytics and consulting firm that helps companies produce better business results by focusing on workplace culture. Powered by more than 30 years of research, Emprising®, its SaaS-enabled survey and analytics platform, gives companies access to the assessments, data, and reporting needed to build a high-trust, high-performance culture.

New Metered Cloud Solution for Streaming Data Pipelines to Amazon Redshift Now Available in the AWS Marketplace

PALO ALTO, CA – February 7, 2019 – Striim, provider of an enterprise-grade platform for streaming data integration to the cloud, announced today that Striim for Amazon Redshift is now available as a Platform-as-a-Service (PaaS) offering in the Amazon Web Services (AWS) Marketplace to enable streaming data pipelines to Amazon Redshift. As an AWS Partner Network partner, Striim can help companies continuously migrate and move enterprise data in real time from a broad range of data sources to Amazon Redshift, speeding adoption of a hybrid-cloud architecture running on AWS.

“With Striim, AWS users can move data continuously, and in the right format, to Amazon Redshift,” said Alok Pareek, Founder and EVP of Products for Striim. “Now that Striim for Amazon Redshift is available in the AWS Marketplace, streaming data pipelines to Redshift can be built in minutes using Striim’s data movement wizards. More importantly, Striim supports mission-critical workloads in the most demanding data environments, handling extreme volumes of data with built-in security and reliability for enterprise-grade, operational decision making.”

Running on AWS as a PaaS solution, the Striim platform offers non-intrusive, real-time data collection and movement from databases (including Oracle, SQL Server, HPE NonStop, PostgreSQL, and MySQL), data warehouses (such as Oracle Exadata and Teradata), Salesforce, Amazon S3, log files, messaging systems, sensors, and Hadoop solutions.

While data is streaming, Striim provides in-flight transformations and optimized delivery to Amazon Redshift.

For Amazon Redshift users, Striim offers several features and benefits that can maximize the speed and reliability of data migration, continuous movement, and in-stream processing. Striim:

• minimizes impact on source databases with non-intrusive change data capture (CDC)
• simplifies CDC configuration through wizards
• enables in-flight transformations / visualizations before delivery to Amazon Redshift
• reduces data latency and on-premises ETL workloads
• offers optimized interfaces to enable fast data loading to Amazon Redshift
• provides full context for downstream operations

Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake. Redshift uses machine learning, massively parallel query execution, and columnar storage on high-performance disk to deliver high performance for cloud analytics.

AWS Marketplace helps software and SaaS providers that sell software and services that run on the AWS Cloud find new customers by exposing their products to some of the hundreds of thousands of AWS customers, ranging from individual software developers to large enterprises.Additionally, AWS Marketplace customers can benefit from the ability to easily deploy preconfigured images of products, simplifying onboarding for new customers.

For more information about Striim’s platform-as-a-service offerings for AWS and Amazon Redshift, visit https://www.striim.com/partners/striim-and-aws/, or provision Striim for Amazon Redshift in the AWS Marketplace.

About Striim

The Striim®platform is an enterprise-grade, streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support hybrid cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

 

Company Highlighted for Its Innovative Work in Data and Information Management

Palo Alto, CA, December 10, 2018 – Striim^®, provider of an enterprise-grade platform for streaming data integration, today announced that it has been included in Database Trends and Applications’(DBTA) “Trend-Setting Products for 2019” list. This annual list recognizes products in data management and analysis that are both innovative and effective in helping customers address evolving challenges and opportunities. In all, 100 products are highlighted in the special December edition of Database Trends and Applications magazine and on the DBTA website, www.dbta.com.

“Since the company’s inception in 2012, Striim has been dedicated to providing an end-to-end streaming integration platform that enables organizations to collect, process, deliver, and analyze data in real-time in order to streamline data movement and make timely critical business decisions,” said Steve Wilkes, co-founder and CTO of Striim. “We’re honored to be recognized by DBTA as a company that is leading the way in data management, and look forward to continuing to help customers keep the essential fuel of data flowing through their organizations, ensuring their data is where they want it, when they want it.”

“Today, more than ever, businesses rely on IT to deliver a competitive edge,” remarked Thomas Hogan, Group Publisher of Database Trends and Applications. “However, it has become very difficult to sift through all the hype and identify products that produce results in the real world. We created this list to do the heavy lifting for you and point out the products that are really transforming enterprise data management and analysis.”

Most recently, in support of enabling organizations to make the most out of its data, Striim announced further support for the Amazon Web Services (AWS) environment by offering real-time data divergence monitoring. This enables risk-free data migration without data loss or business interruption for users. Learn more by reading the press release, “Striim Bolsters Zero Downtime Migration Solution to Amazon Web Services with Real-Time Data Divergence Monitoring.”

View this year’s list of trend-setting products here.

About Striim

The Striim^® platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud), as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.   

About Database Trends and Applications

Database Trends and Applications (DBTA), published by Information Today, Inc., is a bi-monthly magazine, delivering advanced trends analysis and case studies in information management developed by a team with 25 years of market coverage experience. Visit DBTA.com for subscription information. DBTAalso delivers groundbreaking research of unparalleled depth and foresight exclusively through its Unisphere Research group.

Data Migration Validation Minimizes Downtime, Prevents Data Loss

PALO ALTO, CA – November 27, 2018 – Striim^®, provider of an enterprise-grade platform for streaming data integration, announced today it has extended its offering for Amazon Web Services (AWS) to include real-time data divergence monitoring, enabling risk-free data migration without business interruption or data loss. Striim’s engagement with AWS builds on an existing relationship.

Striim moves real-time data from virtually any data source, including enterprise databases (via log-based change data capture or CDC), log files, messaging systems, sensors, and Hadoop data into AWS. AWS customers can rapidly build real-time data pipelines to Amazon Redshift, Amazon S3, Amazon RDS for Oracle, Amazon RDS for SQL Server, Amazon RDS for MySQL, Amazon Aurora, and Amazon Kinesis services.

“Leveraging Striim’s enterprise-grade change data capture feature, AWS users can now provide real-time detection of out-of-sync data at the point of divergence,” said Alok Pareek, EVP of Product at Striim. “This approach ensures zero-downtime migrations with minimized risk and up-to-date data to offload critical workloads to the AWS cloud.”

For AWS migrations, Striim provides real-time data synchronization capabilities, moving data from legacy databases to AWS RDS or Aurora databases without requiring downtime, and enabling an immediate switchover to the AWS environment.

Striim can also validate data migration to AWS (including the AWS Data Migration solution) to avoid data loss or divergence. Striim non-intrusively collects changed data from legacy databases and the target AWS databases, and matches applied transactions in real time to verify the cloud database is synchronized. Users can see any data divergence in real time via live dashboards to ensure a successful migration.

Key Striim features related to AWS migrations include:

• Real-time data synchronization and integration from a wide variety of sources
• Non-intrusive change data capture (CDC) from databases with event guarantees
• Built-in migration monitoring and real-time alerting on data divergence
• Designed for high-volume, high-velocity data
• Built-in security, scalability, and reliability
• Quick to deploy via SQL-like queries and wizards-based UI

For more information about Striim’s platform-as-a-service offerings for AWS, watch the brief demo video, visit https://www.striim.com/partners/striim-and-aws/, or provision Striim in the AWS Marketplace.

About Striim

The Striim^®platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud), as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.  

PALO ALTO, CA – October 18, 2018 – Striim^®, provider of an enterprise-grade platform for streaming data integration, announced today that the company has been recognized as one of the Best Small & Medium Workplaces by Great Place to Work and FORTUNE.

The ranking considered more than 112,000 employee surveys from small and medium-sized companies. Great Place to Work, a global people analytics and consulting firm, evaluated more than 50 elements of team members’ experience on the job. These included the extent to which employees trust leaders, the respect with which people are treated, the fairness of workplace decisions, and how much camaraderie there is among the team.

Rankings are based on employees’ feedback and reward companies who best include all employees, no matter who they are or what they do for the organization. Striim took the 36^th spot on the 2018 Best Small Workplaces list in the United States.

“From the management team down, there is a culture of respect. Regardless of who you are or what your role is, your opinion matters and is taken into account as we steer this ship through the tumultuous start-up waters,” commented a Striim employee in the confidential survey.

“All of us at Striim are thrilled that our company’s culture of respect has been recognized by such a prestigious award as FORTUNE’s 2018 Best Small and Medium Workplaces list,” stated Katherine Rincon, SVP of Marketing at Striim. “Striim’s leadership team works consistently to encourage an inclusive, collaborative, and positive working environment. Based on the survey results, we’re delighted to see this effort resonating with our employees.”

“When it comes to revenue growth and innovation, the 2018 Best Small & Medium Workplaces continue to outperform their peers making these companies more competitive and helping them secure their position in the marketplace,” said Michael Bush, CEO of Great Place to Work.“What these companies do differently than their peers is that they offer a great workplace for all employees, regardless of role or personal traits”.

The Best Small & Medium Workplaces list is one of a series of rankings by Great Place to Workand FORTUNEbased on employee feedback from Great Place to Work-Certified™ organizations.

About Striim
The Striim® platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support hybrid cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

About Great Place to Work
Great Place to Work® is a global people analytics and consulting firm that helps companies produce better business results by focusing on workplace culture. Powered by more than 30 years of research, Emprising®, its SaaS-enabled survey and analytics platform, gives companies access to the assessments, data, and reporting needed to build a high-trust, high-performance culture.

Cloud-Hosted Solution Enables Streaming Data Pipelines
to Cloud SQL for PostgreSQL and MySQL Regardless of Location

PALO ALTO, CA and LONDON, UK – October 11, 2018 – Striim^®, provider of an enterprise-grade platform for streaming data integration, announced today at the Google^® Cloud Next ’18 London conference that the Striim software is now available as a cloud-hosted offering on the Google marketplace to enable streaming data pipelines to Google^®Cloud SQL. Striim simplifies the continuous collection, transformation and movement of data in real time from a wide variety of on-premises and cloud sources, making it easier for companies to integrate cloud-based PostgreSQL and MySQL in their hybrid cloud architectures.

Google Cloud SQL is Google’s fully managed database service for PostgreSQL and MySQL databases in the cloud. However, a cloud database is only as good as its data. Striim ensures Google Cloud SQL is continuously fed with real-time, relevant data from both on-premises and cloud systems, while maintaining transactional consistency.

“With Striim, our customers can set up continuous real-time data flows that deliver data in the right format into PostgreSQL and MySQL running on Google Cloud,” said Alok Pareek, Founder and EVP of Products for Striim. “Striim moves data continuously with Exactly Once processing (E1P) semantics and in a transactionally consistent manner. These are key requirements when integrating data from mission-critical applications. By rapidly setting up automated, real-time data pipelines, Cloud SQL customers can replicate data into their MySQL and PostgreSQL database services for real-time business applications, as well as for operational data stores and data marts in their analytical solutions.”

Striim ingests data from a broad range of enterprise databases (including Oracle, SQL Server, HPE NonStop, MySQL, PostgreSQL, Amazon RDS for Oracle, Amazon RDS for MySQL) via log-based Change Data Capture (CDC), as well as from log files, messaging systems, sensors, and Hadoop solutions. While the data is in-motion, Striim performs in-line transformations before delivering to Google Cloud SQL with sub-second latency, providing full context for any downstream operations such as reporting, analytical, and transactional processing.

For Google Cloud SQL customers, Striim offers several features and benefits that can maximize integration speed and reliability:

• uses low-impact change data capture (CDC) to minimize impact on source databases
• offers a secure, reliable, and scalable service for continuous real-time data collection, preparation, and delivery to Google Cloud SQL
• provides in-flight data filtering, transformation, aggregation, masking, and enrichment
• reduces on-premises ETL workloads, as well as data latency
• enables synchronization of partial data sets for reporting use cases

For more information about Striim’s platform-as-a-service offerings for Google Cloud SQL, please visit www.striim.com/partners/google-cloud-platform/ or provision Striim in the Google Cloud marketplace.

About Striim

The Striim^®platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support hybrid cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency.For more information, visit www.striim.com, read our blog at www.striim.com/blog,  follow @striimteam, or download the Striim platform.  

Google Partner Enables Streaming Data Pipelines as PaaS to Google BigQuery

PALO ALTO, CA and LONDON, UK – October 10, 2018 – Striim^®, provider of an enterprise-grade platform for streaming data integration, announced today at the Google^® Cloud Next ’18 London conference that the Striim software is now available as a Platform-as-a-Service (Paas) offering on the Google marketplace to enable streaming data pipelines to Google BigQuery^™. With Striim, companies can continuously move enterprise data in real time from a broad range of data sources to Google BigQuery, speeding adoption of a hybrid cloud architecture running on Google Cloud Platform.

Google BigQuery is Google’s fully managed cloud data warehouse for analytics. BigQuery enables companies to store large amounts of data (transactional, IoT, application logs, batch, streaming, etc.) and quickly perform ad hoc queries to produce fast results and provide analytics on petabyte-scale data sets.

“With Striim, companies can continuously feed real-time data to their analytics frameworks powered by Google BigQuery,” said Alok Pareek, Founder and EVP of Products for Striim. “Until now, mission critical applications could integrate on-premise data into Big Query via the Striim platform using a BYOL model. With our new PaaS solution, Striim makes it trivial to provision and set up streaming data pipelines in the Google Cloud, delivering up-to-the-millisecond business data to BigQuery to support operational decision-making on a continuous basis.”

Whether on-premises or in the cloud, Striim offers non-intrusive, real-time data ingestion from a wide variety of data sources including databases (i.e., Oracle, SQL Server, MySQL, HPE NonStop), and data warehouses (i.e., Oracle Exadata, Amazon Redshift, Teradata), log files, messaging systems such as Kafka, Hadoop solutions, and sensors.

While data is streaming, Striim provides in-flight transformations – including denormalization – and optimized delivery to Google BigQuery.

For Google BigQuery customers, Striim offers several features and benefits that can maximize integration speed and reliability:

• uses non-intrusive change data capture (CDC) to minimize impact on source databases
• provides Wizards to simplify CDC configuration
• offers in-line transformations and visualizations before delivering to Google BigQuery
• reduces on-premises ETL workloads, as well as data latency
• enables fast data loading to Google BigQuery through optimized interfaces
• gives full context for any downstream operations

For more information about Striim’s platform-as-a-service offerings for Google BigQuery, please visit our Striim for Google Cloud Platform page, or provision Striim for Google BigQuery in the Google Cloud marketplace.

Latest Release of the Striim Platform Adds Continuous Data Validation
for Stream Processing and Delivery to Kudu

PALO ALTO, CA, September 11, 2018 – Striim^®, provider of an enterprise-grade platform for streaming data integration to the cloud, today announced that they have expanded Striim’s integration capabilities for Apache^®Kudu^™ to include continuous data validation for stream processing and delivery to Kudu.

“Continuous validation on a streaming data flow, particularly from CDC sources, can be quite challenging. Striim has built-in data validation dashboards and reports that track real-time pipelines from an operational aspect,” said Alok Pareek, Founder and EVP of Products at Striim. “Striim offers Kudu users the critical streaming data integration capabilities necessary to take advantage of Kudu’s low-latency architecture. Striim is committed to supporting Kudu customers to achieve reliable and accurate real-time insights from their high-volume and high-velocity data.”

Apache Kudu expands the Apache Hadoop storage layer by enabling multiple, real-time analytics workloads. Kudu is quickly becoming the de facto standard for use cases that require fast analytics on rapidly changing data.

Striim enables real-time ingestion, processing and delivery to Kudu so users can more readily run real-time analytics applications in the Kudu environment. In addition to continuous data ingestion, Striim has enhanced its solution for Apache Kudu by offering continuous validation for stream processing and data delivery.

Continuous, Real-Time Data Ingestion.Striim continuously ingests real-time data from enterprise databases (via non-intrusive change data capture), log files, messaging systems such as Apache Kafka, Hadoop and cloud environments. Striim’s KuduWriter streams real-time data from databases (including Oracle, Microsoft SQL Server, HPE NonStop, MySQL) and files in different formats (such as CSV and JSON) to Apache Kudu version 1.4 and higher.

Continuous Stream Processing with Validation. With Striim, Kudu customers can accelerate their real-time reporting and analytics solution by using up-to-the-millisecond data from a wide range of data sources, in the exact format they need. Before delivering to Kudu, Striim’s KuduWriter offers in-line transformations (such as denormalization), masking, filtering, aggregation, and encryption. Striim’s latest release provides pre-built dashboards that continuously monitor the behavior of data pipelines so Kudu users can easily trace and validate in real time whether, and to what degree, the data ingested completed the required processing steps as it is streaming within the platform.

Continuous, Real-Time Data Delivery with Validation. Striim is designed to efficiently deliver high-velocity, high-volume data with sub-second latency in mission-critical environments. In the latest release, Striim added capabilities to validate data delivery to Kudu in real time. This feature comes in addition to existing reliability features such as out-of-the-box exactly once processing (E1P), high availability and recovery, and data pipeline monitoring with real-time alerts.

For more information regarding Striim’s continuous data integration capabilities for Apache Kudu, please download Striim, or stop by the Striim booth #1107 this week at Strata Data Conference NY.

About Striim

The Striim^®platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support hybrid cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform. 

New Hosted Offerings Continuously Move Data in Real Time
to Azure Cosmos DB and Azure Database for PostgreSQL

PALO ALTO, CA, September 11, 2018 – Striim^®, provider of an enterprise-grade platform for streaming data integration to the cloud, today announced it has expanded its integration offerings for Microsoft Azure cloud services. Striim introduces additional hosted solutions for real-time, continuous data movement from a variety of sources to Azure Cosmos DB and Azure Database for PostgreSQL. These new offerings extend Striim’s existing Azure marketplace solutions for real-time data integration to Azure SQL Data Warehouse, Azure SQL Database, Azure Storage and Azure HDInsight.

“We at Striim continue to invest heavily in our data integration solutions for Microsoft Azure as part of our overall strategy to enable real-time hybrid cloud architectures,” said Alok Pareek, Founder and EVP of Products at Striim. “Customers are interested in adopting both NoSQL and SQL-based data stores in the cloud. With Striim’s edge-side, agent-based data capture, topology-based pipeline wizards, and strong ACID guarantees, migration to PostgreSQL from on-premise transactional systems becomes seamless. In addition,  our continuous real-time feeds into Cosmos DB makes the latest data available for Cosmos DB applications using a familiar SQL API.

Striim’s cloud-based services simplify the creation of real-time data pipelines from a broad range of database and data warehouse sources (via low-impact Change Data Capture or CDC), messaging systems such as Kafka, key value data stores, and distributed file systems like HDFS. With these data pipelines in place, companies can continuously stream real-time data into one or more Microsoft Azure cloud services, including new offerings for Azure Cosmos DB and Azure Database for PostgreSQL.

Microsoft Azure Cosmos DB is a low-latency, highly scalable, schema-less NoSQL database that supports multiple APIs. Microsoft customers leverage Cosmos DB to transparently and elastically scale and replicate their data wherever their users are across the globe. With Striim, users can unlock data currently residing elsewhere – on-premise or in the cloud – and continuously deliver that data into Azure Cosmos DB to ensure they are always working with the most up-to-date data. For more information, visit Striim for Azure Cosmos DB, or contact us for a private preview.

Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service, addressing the needs for high availability, scalability and security of PostgreSQL users. To further support these needs, Striim offers a secure, reliable, and scalable service for continuous real-time data collection (including low-impact CDC), preparation, and delivery to Azure Database for PostgreSQL. For more information, visit Striim for Azure Database for PostgreSQL, or contact us for a private preview.

About Striim

The Striim^®platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support hybrid cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform. 

Google Partner Introduces Platform-as-a-Service Offerings
for Google BigQuery, and Cloud SQL for PostgreSQL and MySQL

PALO ALTO, CA – September 11, 2018 – Striim^®, provider of an enterprise-grade platform for streaming data integration, announced today that it has expanded integration with Google^®Cloud Platform^™(GCP^™) to continuously feed real-time data from a broad range of data sources to Google BigQuery^™and Cloud SQL for PostgreSQL and MySQL.This integration helps Google customers to move toward a hybrid cloud infrastructure by making real-time enterprise data available for data warehousing, advanced analytics, operational reportingand machine learning solutions.

Striim’s platform-as-a-service solutions for the GCP infrastructure platform simplify the creation of real-time data pipelines from existing databases and data warehouses into Google BigQuery and Cloud SQL for PostgreSQL and MySQL. 

“In order to gain maximum value out of data stores and applications running on the Google Cloud Platform, companies need to be able to reliably deliver real-time data on a continuous basis into Google cloud-based services,” said Alok Pareek, Founder and EVP of Products for Striim. “Striim, running as a PaaS solution on the Google Cloud, speeds deployment of GCP-based database, storage and analytics solutions by making it easy to stream large volumes of data from a wide variety of sources to key Google Cloud data solutions.”

The Striim platform, running on the GCP infrastructure platform, enables real-time data ingestion from databases (including Oracle, SQL Server, and MySQL) via log-based change data capture to provide continuously updated operational data for cloud-based analytics, while minimizing the impact on performance of source systems. Striim also enables in-flight data processing to reduce overall latency and drive operational workloads.

With Striim, users can quickly deploy an enterprise-grade, modern data warehouse on Google BigQuery with a real-time data store that supports fast operational decisions. Google customers can further use Striim’s cloud-based streaming integration services to run operational workloads and set up data stores on Google Cloud SQL for PostgreSQL^®and MySQL^®by continuously ingesting transactional data.

For more information about Striim’s platform-as-a-service offerings on the Google Cloud Platform, please visit www.striim.com/partners/google-cloud-platform/.

About Striim

The Striim^®platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support hybrid cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform. 

Global Microsoft partner enables continuous, real-time data pipelines
for Azure SQL Data Warehouse, Azure Databases, and Other Azure Analytics Services

PALO ALTO, CA – July 16, 2018 – Striim^®, provider of an enterprise-grade platform for streaming data integration, announced today that it has expanded its relationship with Microsoft to continuously feed real-time data from a broad range of data sources such as Oracle^® Exadata^®, Teradata^®, SQL Server and other relational database sources, into Microsoft Azure SQL Data Warehouse, Azure SQL Database and other Azure analytics services including Azure Data Lake Storage, Azure Cosmos DB, and Azure HDInsight.

This integration helps Azure customers rapidly deploy data pipelines to make real-time operational data available for modern data warehousing, advanced analytics, and machine learning solutions, enabling operational decision making on a continuous basis.

Real-Time Data Movement to Azure from Existing Data Warehouses and Databases

Striim’s cloud-based services simplify setting up real-time data pipelines from existing data warehouses and operational databases into Azure SQL Data Warehouse, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, and Azure HDInsight.

The Striim platform, running in Azure, offers non-intrusive, real-time data ingestion from data warehouses (including Oracle Exadata, Teradata, and Amazon^®Redshift^®) and databases (including Oracle, SQL Server, HPE^®NonStop^®, and MySQL) to enable continuously updated operational data for cloud-based analytics without impacting the performance of source systems. Striim helps to enable fast data loading to Azure in streaming mode or batch mode using optimized interfaces. In-flight data processing allows Striim to help reduce on-premises ETL workloads.

“Businesses adopting cloud-based analytics need to ensure reliable, real-time and continuous data delivery from on-prem and cloud-based data sources to gain maximum value from their investments,” said Alok Pareek, Founder and EVP of Products for Striim. “Striim is designed for enterprise-grade streaming integration from diverse data sources, and runs in Azure to enable operational use cases and increase the speed of deployment for Azure-based analytics solutions.”

Key Use Cases for Striim Solutions for Azure

Azure customers can use Striim’s cloud-based streaming integration services to:

• Facilitate building a hub-and-spoke architecture for Azure SQL Data Warehouse using real-time data sub-setting.
• Build a modern data warehouse with a real-time data store that supports operational decision making.
• Run operational workloads and set up data stores on Azure SQL Database, Azure Database for PostgreSQL^®, and Azure Database for MySQL^® by continuously ingesting transactional data.
• Implement advanced big data analytics, machine learning, and AI based on low-latency, pre-processed data by setting up real-time data pipelines to Azure Data Lake Storage, Azure DataBricks, and Azure HDInsight from diverse sources, including databases and log files.

“We are excited to work closely with Striim to offer Azure customers the option to use a streaming data architecture for data movement from their existing data stores and data warehouses, regardless of their location or technology,” said John ‘JG’ Chirapurath, General Manager, Azure Data and Artificial Intelligence for Microsoft. “With Striim, Azure analytics services customers can more easily use real-time operational data to support their users on a 24/7 basis with timely and actionable intelligence.”

Striim’s solution offers out-of-the-box features that can maximize integration speed and reliability for Azure customers:

• In-Flight Data Processing: By filtering, transforming, aggregating, enriching, and masking data in-flight, Striim minimizes on-premises ETL workloads and delivers pre-processed data into analytical services to accelerate time to insight.
• Built-in Pipeline Monitoring and Validation: Striim carefully orchestrates the data integration processes and continuously monitors data pipelines to ensure zero data loss and transactional integrity.
• SQL Language and Wizards-Based Development: Via its intuitive development interface that uses SQL language for data processing, as well as easy-to-use integration Wizards, Striim enables Azure customers to set up real-time data feeds into Azure in minutes.

The Striim platform offers in-flight data transformations and enrichment capabilities, and also integrates with Azure DataBricks via Azure Data Lake Storage to allow highly complex transformations using Spark. Striim can also import the machine learning models developed by Azure DataBricks for in-flight data scoring.

Striim offers the following PaaS solutions in the Azure Marketplace:

• Real-Time Data Integration to Azure SQL Database
• Real-Time Data Integration to Azure Storage
• Real-Time Data Integration to Azure HDInsight

Striim for Azure SQL Data Warehouse, Striim for Azure Data Lake Storage (gen 2), and Striim for Azure Cosmos DB are available for preview. Please contact us for a demo or walkthrough of the live solutions.

For more information about Striim’s collaboration with Microsoft and integration solutions for Azure analytics services, please visit www.striim.com/microsoft-azure/.

About Striim:

The Striim^®platform is an enterprise-grade streaming data integration solution. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources, on-premises or in the cloud, for real-time Kafka, Hadoop, NoSQL integration and hybrid cloud infrastructure. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. Companies worldwide use the Striim platform for a wide variety of use cases including data security, fraud detection, SLA monitoring, customer experience, data modernization and centralization, and Internet of Things (IoT) edge processing and analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform. 

Version 3.8.4 Expands Real-Time Data Movement and Integration
to multiple Cloud Analytics Services; Increases Operational Value of Cloud Analytics

PALO ALTO, CA – July 10, 2018 –Striim^®, provider of an enterprise-grade platform for streaming data integration, today announced the general availability of version 3.8.4 of the Striim platform. This new release strengthens the platform’s capabilities in helping organizations with their transition to, and use of, cloud-based analytics by creating enterprise-grade, real-time data pipelines to feed different layers of their cloud environment. Available as a cloud service, Striim enables companies to reap the agility and cost-savings benefits of cloud-based analytics with real-time data movement, scalability, and faster time-to-market.

With the new 3.8.4 release, the Striim platform can support organizations across all layers of their cloud-based analytical environment by bringing real-time data to:

• Analytics services and data warehousing solutions, such as Azure^®SQL Data Warehouse and Google^®BigQuery^®, that directly support end users with timely intelligence
• Data management and analytics frameworks, such as Azure HDInsight^®, which support interactive analysis or creating machine learning models
• Storage solutions, such as Amazon^®S3 or Azure Data Lake Storage, from on-premises and other cloud-based data sources in real time
• Staging areas, such as HDFS, S3, ADLS which are used by other cloud services and components

“To deliver next generation digital transformation, businesses are quickly moving to cloud-based analytics,” said Alok Pareek, founder and EVP of Products at Striim. “With Striim 3.8.4, users can set up real-time and pre-processed data flows from on-premises and cloud environments into different layers of their cloud solution to accelerate their onboarding and increase the operational value gained from their analytical solutions in the cloud.”

In 3.8.4, the Striim platform automates its streaming data integration to Hive solutions, deployed in the cloud or on-premises. It also enhances its real-time data integration into Amazon S3 by adding dynamic bucketing, object-level tagging, and support for file headers.

With an eye on ease of use, Striim added Schema Registry support for Apache Kafka, helping end users to track and store schema evolution easily, and avoid impacting existing applications due to schema changes. Striim also introduced Open Processor– a platform component that is accessible via the UI – to allow end users to bring any code they have written into any part of the Striim platform. For example, companies building machine learning (ML) models using R can quickly bring their ML algorithms into Striim to extend its application logic.

Another new feature that enhances Striim’s manageability and ease of use is Continuous Data Processing Validation. Using pre-built dashboards that continuously monitor the behavior of data pipelines, Striim users can easily trace and validate in real time whether, and to what degree, the data ingested completed the required processing steps as it is streaming within the platform.

With the new release, Striim continues to expand the list of sources and targets by introducing support for Microsoft^®Azure Database for PostgreSQL^®and Microsoft Azure Database for MySQL^®. Striim also offers a new adapter for delivering real-time data into the popular NoSQL database, Apache^®Cassandra^®. Customers can use Striim to ingest real-time, pre-processed data from diverse data sources, including enterprise databases – using real-time, log-based CDC – log files, messaging systems, Hadoop, cloud-based data stores, and sensors, add in-stream process and transformations, and deliver the data to these targets.

To learn more, request a demo of Striim v. 3.8.4, or download a fully loaded 90-day trial of the Striim 3.8.4 platform.

About Striim:

The Striim^®platform is an enterprise-grade streaming data integration solution. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources, on-premises or in the cloud, for real-time Kafka, Hadoop, NoSQL integration and hybrid cloud infrastructure. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. Companies worldwide use the Striim platform for a wide variety of use cases including data security, fraud detection, SLA monitoring, customer experience, data modernization and centralization, and Internet of Things (IoT) edge processing and analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform. 

Company Earns #4 Ranking in Small Companies Category

PALO ALTO, CA –June 25, 2018 –Striim^®, provider of an enterprise-grade platform for streaming data integration with intelligence, announced today that it has been awarded the #4 ranking in the Small Companies category of the Bay Area News Group’s Top Workplaces award. This is the second year in a row that Striim has been included among the top five.

The list is based solely on employee feedback gathered through a third-party survey administered by research partner Energage, LLC (formerly WorkplaceDynamics), a leading provider of technology-based employee engagement tools. The anonymous survey measures several aspects of workplace culture, including alignment, execution, and connection, just to name a few.

“Top Workplaces is more than just recognition,” said Doug Claffey, CEO of Energage. “Our research shows organizations that earn the award attract better talent, experience lower turnover, and are better equipped to deliver bottom-line results. Their leaders prioritize and carefully craft a healthy workplace culture that supports employee engagement.”

“We’re thrilled to be recognized as a Top Workplace in the Bay Area for the second year in a row, especially by such a well-regarded organization as the Bay Area News Group,” stated Katherine Rincon, SVP of Marketing at Striim. “What’s great about this award is that it’s completely driven by first-hand research on employee sentiment. It’s wonderful validation that the employee satisfaction we see every day translates to these awards.”

“Becoming a Top Workplace isn’t something organizations can buy,” Claffey said. “It’s an achievement organizations have worked for and a distinction that gives them a competitive advantage. It’s a big deal.”

About Striim

The Striim® platform is an enterprise-grade streaming data integration and intelligence solution. Striim makes it easy to continuously ingest and process high volumes of streaming data – including non-intrusive change data capture – for real-time Kafka and big data integration, hybrid cloud infrastructure, log correlation, edge processing, and streaming analytics. Companies worldwide use the Striim platform for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, data modernization and centralization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

About Energage, LLC

Headquartered in Exton, Pa., Energage (formerly known as WorkplaceDynamics) is a leading provider of technology-based employee engagement tools that help leaders to unlock potential, inspire performance, and achieve amazing results within their organizations. The research partner behind the Top Workplaces program, Energage has surveyed more than 47,000 organizations representing well over 16 million employees in the United States.

Company Highlighted Among Companies that Matter Most in Data

PALO ALTO, CA, June 15, 2018— Striim™, provider of an enterprise-grade platform for streaming integration with intelligence, today announced it has been included in the Database Trends and Applications (DBTA) magazine’s sixth annual “DBTA 100: The Companies That Matter Most in Data,” a special list that salutes today’s top companies in data management and analysis.

“As more enterprise companies want real-time information, they are adopting Streaming Integration to continuously collect, process, and deliver enterprise data from a variety of sources as a crucial first step in data modernization,” stated Steve Wilkes, founder and CTO of Striim. “Striim’s end-to-end platform was built to provide enterprise-grade, real-time data integration, analytics and visualization, allowing users to gain immediate insights. We’re proud to be recognized by DBTA as an innovator in how enterprise companies integrate and analyze their data.”

The “DBTA 100” list recognizes companies based on their presence, execution, vision, and innovation in delivering products and services to the marketplace. All 100 companies are highlighted in the June edition of Database Trends and Applications magazine and on www.dbta.com.

“We’re excited to announce our sixth annual list, as the industry continues to grow and transform,” remarked Thomas Hogan, Group Publisher at Database Trends and Applications. “Today, more than ever, businesses are looking for ways to manage and leverage their information resources to create new opportunities and deliver a real competitive advantage. A fundamental change is taking place where every business is also moving toward becoming a data business. This list seeks to highlight those companies that have been successful in establishing themselves as unique resources for data professionals and stakeholders.”

The “DBTA 100” is compiled annually by the editorial staff at Database Trends and Applications. This year’s selections can be viewed here, along with Steve Wilkes’ “View from the Top” section, which provides further details on the company as well the platform.

About Striim

The Striim®platform is an enterprise-grade streaming data integration and intelligence solution. Striim makes it easy to continuously ingest and process high volumes of streaming data – including non-intrusive change data capture – for real-time Kafka and big data integration, hybrid cloud infrastructure, log correlation, edge processing, and streaming analytics. Companies worldwide use the Striim platform for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, data modernization and centralization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform. 

About Database Trends and Applications

Database Trends and Applications (DBTA), published by Information Today, Inc., is a bimonthly magazine that delivers advanced trends analysis and case studies in data management and analysis developed by a team with more than 25 years of industry experience. Visit www.dbta.com for subscription information. DBTA also delivers groundbreaking market research exclusively through its Unisphere Research group.