Archives: Press

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.

PALO ALTO, CA – May 3, 2018 –Striim®, provider of an enterprise-grade platform for streaming integration with intelligence, announced today it has been recognized as a winner of the 2018 Bay Area Best Places to Work award, a program presented by the San Francisco Business Times and the Silicon Valley Business Journal. Striim ranked the #10 Best Place to Work among companies with less than 50 employees in the Bay Area.

“This is the second year in a row that Striim has been recognized as a top 10 company to work for,” stated Katherine Rincon, SVP of Marketing at Striim. “As much as we love our streaming integration technology and believe in the vision of this company, it’s the people that make Striim great!”

Select employers from the Bay Area were named winners at an awards ceremony held in San Francisco on April 18, 2018. These winning organizations, including Striim, 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 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 2018 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 – May 1, 2018–Striim®, provider of an enterprise-grade platform for streaming integration with intelligence, announced today that CRN^®, a brand of The Channel Company, has named Striim to its 2018 Big Data 100 list. This annual list recognizes the ingenuity of tech suppliers bringing to market innovative offerings for harnessing the increasingly huge amounts of data generated in today’s digital world.

The Striim platform is an end-to-end solution that combines real-time streaming integration with intelligence, enabling enterprises to ingest large volumes of data from a variety of sources, and deliver that data to a number of different data targets in milliseconds. While the data is in-flight, users can filter, transform, enrich, and aggragate the data before it lands on disk in order to gain insights while the data is still operationally relevant. Striim offers the ability to build customizable real-time dashboards and alerts in order to make timely, informed business decisions.

“The IT community is now able to collect massive volumes of valuable data—a veritable treasure trove of information for growing businesses,” said Bob Skelley, CEO of The Channel Company. “But reaping the benefits of these huge information streams is a complex and delicate process. The vendors on CRN’s 2018 Big Data 100 list have demonstrated an exceptional ability to help solution providers and their customers tackle this enormous project.”

“Enterprise companies continue to struggle with the extreme growth of data year over year, and the need to make timely decisions on that data,” stated Katherine Rincon, Senior Vice President of Marketing, Striim. “Many companies recognize that a key component of the solution is the fast integration and processing of streaming data. We’re honored that CRN has recognized Striim as a company that can help organizations adopt a modern streaming data architecture.”

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 The Channel Company

The Channel Company enables breakthrough IT channel performance with our dominant media, engaging events, expert consulting and education, and innovative marketing services and platforms. As the channel catalyst, we connect and empower technology suppliers, solution providers and end users. Backed by more than 30 years of unequaled channel experience, we draw from our deep knowledge to envision innovative new solutions for ever-evolving challenges in the technology marketplace. www.thechannelco.com

CRN is a registered trademark of The Channel Company, LLC. All rights reserved.

PALO ALTO, CA – April 12, 2018 – Striim®, provider of an enterprise-grade platform for streaming integration with intelligence, announced today that it has been recognized by the Business Intelligence Group as a finalist in the 2018 Fortress Cyber Security Awards for its Striim for Enterprise Security solution.

In its inaugural program, the Fortress Cyber Security Awards sought to identify and reward the world’s leading companies and products that are working to keep our data and electronic assets safe among a growing threat from hackers. Working executives from the cyber security and information technology fields volunteered to judge the program using a proprietary scoring methodology.

Striim for Enterprise Security was recognized for its case study with a leading financial services company. The company turned to Striim to increase alert accuracy of its security alerts with more sophisticated rules, and to improve the security team’s understanding of the alerts generated. Through multi-log correlation of streaming data and advanced pattern matching cabilities, Striim for Enterprise Security was able to accurately and immediately detect data security breaches and attacks.

“Threat detection is a leading concern of companies of every size, across every industry as they attempt to keep threat actors from accessing and compromising private corporate and personal information,” said Katherine Rincon, Senior Vice President of Marketing, Striim. “We’re honored that the Striim platform has been recognized as a finalist by leaders in the cybersecurity community as a top solution in helping combat cyber attacks.”

“We are proud to announce the inaugural finalists and winners of the Fortress Awards,” said Maria Jimenez, Chief Nominatons Officer, Business Intelligence Group. “According to recent reports, only 38 percent of global organizations say they are prepared to handle a sophisticated cyber attack, and worse, an estimated 54 percent of companies say they have experienced one or more attacks in the last 12 months. The innovative companies and products we are recognizing, chosen by our expert judges, are the premier teams working to prepare, defend and respond to this growing threat. Congratulations to everyone.”

Read more about why Striim for Enterprise Security was selected as a finalist by reading our blog post, “Striim’s Threat Detection Capabilities Lands Company as a 2018 Fortress Cyber Security Awards Finalist.”

About Striim

The Striim®(pronounced “stream”) platform is an enterprise-grade streaming data integration and intelligence solution. The platform makes it easy to continuously ingest and process high volumes of streaming data – including non-intrusive change data capture – for real-time Kafka integration, log correlation, hybrid cloud, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization 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.

Latest version bolsters Striim’s streaming data integration and hybrid cloud capabilities

PALO ALTO, CA — April 4, 2018 — Striim®, provider of an enterprise-grade platform for streaming integration with intelligence, announced today version 3.8.3 of the Striim product, offering important new streaming data integration and hybrid cloud capabilities. With continuous, real-time data ingestion and stream processing for Apache® Kudu™, Striim enables Kudu users to deliver real-time reporting and analytics while the data is still relevant and has operational value. The Striim platform also integrates directly with Azure® HDInsight® in support of modern, real-time hybrid cloud environments. Amazon® Redshift® users can now benefit from streaming data transformations and in-line column mapping across heterogeneous databases.

“As Apache Kudu gains great traction among enterprises for its ability to support fast, scalable data aggregation, reporting, and analytics, Striim helps Kudu users ingest wide range of enterprise data the moment it’s born,” stated Alok Pareek, Founder & EVP of Products at Striim. “We’ve also enhanced our hybrid cloud offerings to support streaming integration with Azure HDInsight and Amazon Redshift. With Striim’s ability to process and deliver data from multiple data sources in real time, users attain the full potential of their applications by working with up-to-the-second data via an enterprise-grade platform.”

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. Striim’s KuduWriter also offers data preparation for data in-motion – including filtering, transformation, enrichment, encryption, and masking – before delivering to Kudu.

A primary benefit of Apache Kudu is its ability to enable multiple, real-time analytics workloads in a single storage layer. With Striim, customers can complete their real-time reporting and analytics solution with an enterprise-grade streaming integration solution that delivers sub-second data from a wide range of data sources, in the format they need. 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. Before delivering the data to Kudu with sub-second latency, Striim processes, secures, and anonymizes the streaming data as-needed for different applications, allowing faster time-to-insight for Kudu users.

In version 3.8.3, the Striim platform also provides the ability to do in-line column mapping across heterogeneous databases like Amazon Redshift, making in-flight enrichment, masking, and encryption easier and faster. Striim’s easy-to-use, drag-and-drop UI increases developer productivity and accelerates integration development time.

Striim 3.8.3 also includes features that enable Striim to be published as an HDInsight application.

To learn more about Striim’s streaming integration solutions for Apache Kafka and Apache Kudu, Azure HDInsight, or Amazon Redshift, please request a demo, or download a free developer license of the Striim platform.

Version 3.8 Adds Multi-Threaded Delivery into Kafka; Expands Real-Time Data Integration into Cloud Environments including Microsoft Azure HDInsight and Amazon Kinesis

PALO ALTO, CA  — January 16, 2018 — Striim, Inc., provider of the leading real-time data integration and streaming analytics platform, today announced that it has launched version 3.8 of the Striim^™ platform, enhancing the scalability and ease-of-use of its streaming integration and SQL-based stream processing capabilities for Apache Kafka. New features such as multi-threaded delivery into Kafka, and an enhanced reader for Kafka with automated mapping of partitions, enable dramatic increases in performance and productivity. Version 3.8 also expands its cloud integration offering with the ability to capture real-time data from Amazon S3, and integrate real-time data into Azure HDInsight and Amazon Kinesis.

Apache Kafka users leverage the Striim platform to continuously collect real-time data from enterprise databases, logs, sensors, and message queues, process data in-flight, without coding, before delivering enriched and transformed data to Kafka within milliseconds. In addition, Kafka customers use the Striim software to analyze and visualize their data in real time, as it streams in Kafka, and deliver data and insights to cloud or on-premises targets.

In version 3.8, Striim has further added new features that deliver multi-fold performance enhancements for streaming real-time data into Apache Kafka, and simplify the setup for reading real-time data from Kafka message queues. The platform uses multi-threaded delivery with automated thread management and data distribution within a single Apache Kafka Writer, supporting high-throughput environments with easier scalability and significant performance increases to optimize a many core single-node architecture. In addition, customers can now use the Striim platform to read from Kafka queues with automated mapping of partitions, dramatically simplifying productivity and accelerating time to market. With 3.8, Striim also offers improved pipeline latency monitoring for its Kafka adapters, which helps identify bottlenecks and streamline fine-tuning for even higher performance.

“Many Apache Kafka users among the Fortune 500 use Striim technology to provide high throughput real-time integration for cloud adoption and data lake construction. Striim’s in-memory SQL streaming analytics capability allows for preprocessing, visualization and analysis of data that’s moving through Kafka queues. The enterprise-grade nature of the Striim platform helps reduce complexity with data delivery guarantees with high performance, security, reliability, and manageability in production environments,” stated Alok Pareek, co-founder and EVP of Products at Striim. “With the release of 3.8, Striim offers unique features that make streaming data ingestion and SQL-processing on Kafka significantly faster and easier.”

Striim remains focused on facilitating cloud integration across a broad range of cloud environments. With this latest release, users are now able to integrate real-time data directly into Microsoft Azure HDInsight to support Hadoop and Kafka implementations on Azure. In addition, Amazon users can now read data from AWS S3 to share with on-premises systems and other cloud applications in real time, and feed data into AWS S3 faster and at-scale, leveraging new multi-threaded delivery with automated thread management. Version 3.8 can also integrate real-time data directly into Amazon Kinesis to support stream processing in AWS.

Striim has also introduced improved data exploration by enabling users to search streaming data and compare real-time and historical data, without requiring coding. These new features enable business users to quickly and easily identify critical and unusual trends via the live dashboards. Striim further offers the ability to embed Striim charts into custom web sites, allowing users to easily share Striim data and insights to users across the enterprise.

Notably in this latest release, Striim also announces support for pseudonymization for GDPR compliance. The platform enables several data privacy initiatives including data masking and real-time auditing capabilities to facilitate compliance with the impending EU regulations. Read more in the related press release, “Striim Offers Data Pseudonymization for GDPR Compliance.”

For more information regarding version 3.8 of the Striim platform, including enhancements for Apache Kafka, cloud integration, data exploration, and GDPR compliance, please read the related blog post, or download the Striim platform for free.

About Striim

The Striim^™ (pronounced “stream”) platform is an enterprise-grade streaming integration solution. The platform makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, 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.

Striim Platform Enables Data Privacy Including Data Masking and Real-Time Auditing Capabilities to Speed Compliance with Upcoming EU Data Regulation

PALO ALTO, CA — January 16, 2018 — Striim, Inc., provider of the leading end-to-end, real-time data integration and streaming analytics platform, announced today its capabilities in delivering data pseudonymization to help organizations achieve compliance with the EU’s General Data Protection Regulation (GDPR). In response to the

regulation’s strong focus on data privacy, the Striim^™ platform helps companies to continuously capture real-time data, and provide pseudonymization of direct identifiers by filtering, enriching, masking, obfuscating, and encrypting data while streaming. The Striim 3.8 product release includes built-in data masking functions that users can quickly implement through its intuitive UI and wizards-based development environment.

“Companies faced with GDPR compliance are in a race to modernize their data architectures in order to meet the regulation’s stringent privacy demands, and closely monitor their dynamically changing compliance activities,” stated Steve Wilkes, co-founder and CTO of Striim. “Adopting a streaming data platform with built-in data masking enables organizations to more quickly, easily, and intelligently attain and maintain GDPR compliance, avoiding potentially harsh fines.”

Along with support for pseudonymization, Striim streaming integration capabilities further enable users to:

• Create audit trails for completed compliance activities, such as deleting or masking of identifiable data, by capturing GDPR-related change data in real time, and storing it for compliance tracking and reporting
• Perform continuous audits of completed compliance actions using multi-source correlation against an in-memory cache of required actions
• Create compliance reports easily by tracking database and other data source changes in real time and via Striim’s file data lineage
• Receive real-time alerts in the event of breach, and monitor workflow steps for risk assessment via the Striim platform’s visualization capabilities

GDPR goes into effect on May 25, 2018. To learn more about the capabilities of the Striim Platform for GDPR compliance, please read our blog post, “Speeding GDPR Compliance with a Streaming Data Architecture.”

For more information regarding the latest release of the Striim platform, version 3.8, please read the related press release, “Striim Enhances SQL-Based Stream Processing for Apache Kafka,” read the related blog posts, or download the Striim platform for free.

About Striim

The Striim^™ (pronounced “stream”) platform is an enterprise-grade, real-time data integration and intelligence solution. The platform makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, 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.

Company Also One of ‘25 Best Companies for Women’

PALO ALTO, CA — December 1, 2017 — Striim^™, Inc., provider of the leading end-to-end, real-time data integration and streaming analytics platform, announced today that it has been chosen by Comparably as one of the ‘50 Best Places to Work’ among small/midsize US companies, ranking #18 of 50. The complete list was published on BusinessInsider.

Comparably also recognized Striim as one of the ‘25 Best Small/Midsize Companies for Women’ in the US, as reported in USA Today.

Striim is being recognized in part because of its A+ rating on Comparably. Striim is ranked among the Top 5 Companies in the US (compared to companies of similar size) in the following November 2017 lists:

• Top 5 Leadership Team – 1^st with a score of 98/100
• Top 5 CEO Rating – Tied for 2^nd with a score of 98/100
• Top 5 Overall Culture in San Francisco – Tied for 1^st with a score of 93/100
• Top 5 eNPS (employee Net Promoter Score) – Tied for 1st with a score of 100/100

Additionally, Striim is ranked among the Top 5% of similarly sized companies in the US for:

• Future Outlook of Company
• Quality of Coworkers
• Compensation
• Diversity
• Gender

Compared to key competitors, Striim ranks 1st in all categories: CEO Rating, Overall Culture, Gender, Diversity and eNPS. View further results by visiting Striim’s page on Comparably.

“It’s a great honor to be recognized as an overall Best Place to Work, as well as a Best Company for Women, by Comparably,” stated Katherine Rincon, SVP of Marketing at Striim. “Striim works hard to encourage a culture that fosters the core values that Comparably identifies, and we believe this recognition is a testament to our ongoing efforts. Furthermore, as a strong proponent of the Women in Tech movement, Striim makes it a priority to offer an environment that promotes collaboration and inclusivity among all employees in the hopes of driving a well-balanced workforce in high tech.”

“Comparably’s annual Best Places to Work list represents the top 50 companies among thousands of U.S. businesses. This prestigious award showcases the best overall company cultures as rated by their own employees. Team members leave the most comprehensive ratings and reviews to help Comparably determine the most in-depth and accurate account of the best places to work. Striim’s inclusion on the list is a reflection of its stellar team, leaders, compensation, and benefits,” added Jason Nazar, CEO, Comparably.com.

This is the third workplace-related award Striim has won in 2017, most recently being named the ‘#1 Top Workplace’ in the Small Companies category by the Bay Area News Group, as well as a ‘Best Place to Work’ by the San Francisco Business Times and Silicon Valley Business Journal.

About Striim

The Striim^™ (pronounced “stream”) platform is an enterprise-grade, real-time data integration and intelligence solution. The platform makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, 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 Comparably​

Comparably is a compensation, culture, and career monitoring site in the U.S. with the most comprehensive and uniquely structured data that can be segmented by gender, ethnicity, age, location, tenure, company size, equity, title/department, and education. The site has become a popular resource for employees to anonymously input and compare salaries, rate their workplace culture and CEOs, and match with their dream jobs. With ​3​ million ratings from half a million employees across 30,000 U.S. companies​, approximately 5,000 businesses use Comparably’s employer branding and jobs tools to recruit and retain talent.