Enable real-time data flow with high throughput and low latency, ensuring the seamless handling of large-scale data for immediate insights and decision-making.
Enable cloud data high availability through real-time database and object store data replication, ensuring seamless data synchronization and resilience across cloud environments.
Striim again among the “Coolest Data Management And Integration Tool Companies Of The 2020 Big Data 100”
Part 4 of CRN’s Big Data 100 looks at the vendors solution providers need to know in the data management and integration software space.
Palo Alto, CA, April 29, 2020—Striim’s platform enables continuous, real-time data ingestion, integration, processing and delivery. The system utilizes low-impact change data capture to ingest high-volume, high-velocity data from databases, log files, messaging systems, Hadoop, cloud applications and IoT devices. The technology performs in-flight data processing, including transformations and aggregations, before delivering it to diverse on-premises and cloud environments.
Striim Version 3.9.8 Includes Valuable Cloud Security Enhancements Including KeyStore Support, Stronger Password Security, and Multi-Layered Application Security, and Secure File Encryption when Loading Files to Cloud Storage
PALO ALTO, CA – March 10, 2020 – Striim, provider of an enterprise-grade platform for streaming data integration to the cloud, has introduced a broad set of enhancements to its on-prem-to-cloud data integration offerings that strengthen platform and data security, improve data accountability, speed application development, increase performance, and enable greater flexibility and extensibility.
Striim 3.9.8 introduces new security features for the cloud integration use cases that enable more fine-grained and robust use of passwords and encryption to provide end-to-end data protection, particularly in hybrid cloud environments.
“Moving and deploying cloud-native applications is part of next generation digital transformation. More often than not, these new applications require data feeds from existing on-prem operational systems. As enterprises embrace their cloud strategy, they face challenges around data security, data accountability, scalability and real time data synchronization,” said Alok Pareek, founder and EVP of Products at Striim. “With this release, Striim is raising the bar on enabling world-class protection of data streaming at-scale, across both on-premises systems and cloud environments for digital transformation.”
More Robust End-to-End Security for Streaming Integration to the Cloud
Striim has been on a multi-year campaign to establish the Striim platform as the gold standard for security in continuous data integration to the cloud. This latest release introduces several significant data protection enhancements.
Striim KeyStore is a new secured repository for passwords and encryption keys that reduces vulnerability by centralizing the administration of encryption keys.
Algorithms for password encryption have been significantly strengthened.
Inter-node cluster communication is secured with stronger encryption algorithms.
Multi-layered application security now allows exported applications that contain passwords or other encrypted values to be protected with a second level of encryption.
Encryption for permanent files based on customer-provided keys is now available in the Striim FileWriter and for the intermediate temporary files using the Google Cloud Storage Writer.
Enhanced Data Accountability
Developers often need to retrieve events that have been discarded by the application for purposes such as replay, testing and auditing. Striim 3.9.8 introduces an application-specific exception store that can be used to store these discarded events.
Higher Performance and Scalability
The new release also introduces performance enhancements for customers using multiple server nodes in a cluster. Administrators have more flexible options than ever for distributing and processing large data volumes in streams or windows by specifying data and metadata for partitioning. This enables load-balancing to improve maximum write performance.
Striim 3.9.8 also now offers the ability to configure the number of parallel threads to be used for writing to a target system across a variety of popular database and data warehouse environments both on-premises and in the cloud.
Faster and Easier Development
Developers can also tap into a host of new user productivity enhancements.
Transformer for in-flight data enrichment enables streaming data to be enhanced without any manual coding using Striim’s drag-and-drop UI. For example, ZIP Code data can be automatically enriched with city and county name fields using real-time lookup. Developers also have the option to enrich data with lookups from external data stores using an in-memory cache.
The option to use sample data for continuous queries to reduce compute and storage requirements. Users can choose to use only a portion of streaming data to speed computation and see results more quickly, a feature that’s particularly useful in high-volume streaming scenarios.
Dynamic output names for write operations that enable such variables as data, metadata and user data fields to be automatically applied to files and objects in Microsoft Azure Data Lake Store Gen 1 and Gen 2, Azure Blob Storage, Azure File Storage, Google Cloud Storage, Apache HDFS and Amazon S3.
A simpler user experience speeds application development with new UI options for configuring complex adapter properties such as rollover policy, flush policy, and encryption policy.
Broader Extensibility
SAP HANA is now supported as a target for direct integration, enabling users of SAP’s transactional / analytical database to rapidly develop time-sensitive analytics applications. Expanded HTTP Reader capabilities allow custom responses to be sent back to the requestor and responses to be deferred until events reach a corresponding HTTP Writer. This enables users to build REST services using Striim.
The Striim® platform is an enterprise-grade stream data integration solution for moving data in real time to the cloud and other targets. Striim makes it easy to continuously ingest high volumes of streaming data from diverse sources (both on-premises and in the cloud), and provide stream processing and transformations to support cloud adoption, and multi- and hybrid cloud infrastructures, as well as Kafka, Hadoop, and NoSQL integrations. Striim can continuously collect data from enterprise databases (using non-intrusive change data capture), log files, cloud applications, messaging systems, and sensors, 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 CLOUD NEXT, LONDON, UK – November 19, 2019 – Striim, provider of an enterprise-grade platform for streaming data integration to the cloud, today announced the availability of incremental data capture from Google Cloud Spanner databases, as well as enhanced real-time data delivery to Google Cloud Pub/Sub for high data volume environments.
Striim’s new 3.9.7 release introduces the ability to capture incremental data from Cloud Spanner to support downstream services and applications that depend on timely data access. Striim has long provided real-time data movement and stream processing to Cloud Spanner from on-premises systems and other cloud databases. Now, operational data – such as inventory and sales data in a retail use case – can be collected from Cloud Spanner and continuously distributed to other Google Cloud services.
“We are excited to partner with Striim to offer our customers a streaming data integration solution to both ingest real-time data into Cloud Spanner, and also to collect and distribute the critical data from Cloud Spanner to other Google Cloud services with low latency,” said Penny Avril, Director of Product Management for Google Cloud Platform. “With Striim’s solution, having access to up-to-date data will further support our Cloud Spanner customers with their time-sensitive operations and high-impact decisions.”
Use cases for this incremental data collection include sharing low-latency data from Cloud Spanner to Google BigQuery for operational intelligence, or to Google Cloud Pub/Sub to support business applications and other services on Google Cloud with timely information.
“We are excited about our close partnership with Google Cloud in offering Cloud Spanner customers a secure, reliable, and scalable streaming data integration service that delivers timely data access for operational intelligence and downstream applications,” said Alok Pareek, Co-Founder and EVP of Product for Striim. “Striim is committed to enabling smooth cloud adoption and hybrid cloud architectures on Google Cloud by offering real-time data pipeline services. Our solutions allow organizations to offload their critical workloads to Google Cloud and help maximize the business transformation they can achieve from their modern cloud platform.”
In addition to incremental data capture from Cloud Spanner, Striim also bolstered its support for Google Cloud Pub/Sub. The Striim platform enables continuous, real-time data loading to Cloud Pub/Sub from on-premises and other cloud data stores. In version 3.9.7, Striim enhanced its Google Cloud Pub/Sub Writer’s throttling capabilities to support extreme data volumes.
Striim also launched bi-directional replication – including a new loop detection feature – to seamlessly move applications to Google Cloud in an online, phased manner while minimizing risks. Striim offers bi-directional replication for Oracle, SQL Server, MySQL, PostgreSQL, and MariaDB databases.
Striim will be showcasing its database migration and real-time data pipeline solutions for Google Cloud and Cloud Spanner this week at Google Cloud Next in London. Stop by booth #F2 for a demo, or request an invitation to Striim’s Hands-On Lab for Online Data Migration to Cloud Spanner at the event.
For more information on Striim’s integrations with Google Cloud and Cloud Spanner, please visit our Striim for Google Cloud Platform page. For more information on new features in Striim version 3.9.7, please read the blog post, “What’s New in Striim 3.9.7,” or contact us for a brief technical walkthrough.
About Striim
The Striim® platform is an enterprise-grade stream data integration solution for moving data in real time to the cloud and other targets. Striim makes it easy to continuously ingest high volumes of streaming data from diverse sources (both on-premises and in the cloud), and provide stream processing and transformations to support cloud adoption, and multi- and hybrid cloud infrastructures, as well as Kafka, Hadoop, and NoSQL integrations. Striim can continuously collect data from enterprise databases (using non-intrusive change data capture), log files, cloud applications, messaging systems, and sensors, 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.
Adds Enhancements in Release 3.9.7 for Google Spanner, Azure Synapse, Azure Cosmos DB, MySQL, MariaDB
PALO ALTO, CA – November 13, 2019 – Striim, provider of an enterprise-grade platform for streaming data integration and intelligence to the cloud, today announced the general availability of Striim version 3.9.7. This latest release introduces a robust solution for bi-directional data flows for phased database migrations to the cloud. Building on version 3.9.6, Striim also added new streaming data ingestion and delivery capabilities, providing additional cloud end points for real-time data movement from on-premises and hybrid cloud sources.
Striim 3.9.7 adds real-time bi-directional data flows for phased, live cloud migrations, as well as maintaining hybrid cloud architectures in support of data modernization initiatives. Not only is Striim able to continuously move data from legacy systems to cloud data stores in real time, but now, this new bi-directional replication – with advanced features for flow identification, loop detection, and smart filtering – allow companies to orchestrate a phased migration to the cloud at their desired pace, significantly minimizing downtime and risks. Striim version 3.9.7 offers bi-directional replication for Oracle, SQL Server, MySQL, PostgreSQL, and MariaDB databases.
“We have seen a significant uptick in hybrid cloud projects recently, especially in the retail industry. Responding to requests from marquee customers who use Striim to enable their hybrid cloud infrastructure, our engineering team has delivered a robust bi-directional data replication offering,” said Alok Pareek, Co-Founder and EVP of Product at Striim. “These enterprise customers finally have a next-generation, zero-downtime, zero-data-loss solution for online phased database migrations, allowing them to seamlessly run their new cloud environments in parallel with the legacy systems for a gradual transition for their end users.”
In addition to bi-directional replication, Striim continues to bolster its cloud adoption solutions, including:
Support for the Cassandra API for real-time data delivery to Azure Cosmos DB to enable more options for connecting Cosmos DB with other services
Certification for Azure SQL Database Managed Instance
The ability to capture low-latency data from Google Cloud Spanner incrementally
Enhanced security configurations for Azure Event Hubs Writer and Amazon S3 Writer
Enhancement of Google Cloud Pub/Sub Writer’s throttling capabilities to support extreme data volumes
The ability to read change data from, and write to MariaDB Galera cluster environments in real time
For more information on Striim version 3.9.7, please read today’s blog post, “What’s New in Striim 3.9.7,” or contact us for a brief technical walkthrough.
About Striim
The Striim® platform is an enterprise-grade stream data integration solution for moving data in real time to the cloud and other targets. Striim makes it easy to continuously ingest high volumes of streaming data from diverse sources (both on-premises and in the cloud), and provide stream processing and transformations to support cloud adoption, and multi- and hybrid cloud infrastructures, as well as Kafka, Hadoop, and NoSQL integrations. Striim can continuously collect data from enterprise databases (using non-intrusive change data capture), log files, cloud applications, messaging systems, and sensors, 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 YORK, NY – Sept. 24, 2019 — Striim, provider of an enterprise-grade platform for streaming data integration, today announced it has been recognized in the fourth annual Datanami Readers’ and Editors’ Choice Awards, presented during the Strata Data Conference. The list of winners was revealed on the Datanami website, located at www.datanami.com. Striim was recognized with the following honor:
Editors’ Choice: Best Big Data Product or Technology – Internet of Things
“The exponential growth of enterprise data thanks to IoT, coupled with the rapid pace of cloud adoption and the desire for real-time decisions, has caused organizations to adopt new and modern ways of dealing with their data,” stated Steve Wilkes, Founder and CTO of Striim. “Organizations need to collect, process, and integrate their data continuously, delivering it to the cloud for long term storage and machine learning, while also being able to analyze it in real-time for immediate impact. The Striim platform was designed with these capabilities in-mind, and we are honored to be included as a recipient of a Datanami Editors’ Choice Award.”
The Datanami Readers’ and Editors’ Choice Awards are determined through a nomination and voting process with input from the global Big Data community, as well as selections from the Datanami editors, to highlight key trends, shine a spotlight on technological breakthroughs, and capture a critical cross section of the state of the industry. These awards will be revealed each year to kick off the annual Strata Data Conference, which showcases data science, machine learning and analytics for business and technical professionals.
“Datanami has seen record growth in 2019 as it has come into its own as a go-to publication for the Big Data, analytics and AI communities,” said Tom Tabor, CEO of Tabor Communications, publisher of Datanami. “Having Datanami’s audience choose to recognize a product, use case or breakthrough shows that an organization is truly pushing the envelope and driving Big Data forward. It is our pleasure to share the support of our readers to those making strides in our industry, and celebrate these organizations each year. My sincerest congratulations to our winners.”
To learn more about the Striim platform and its streaming data integration capabilities for on-premises, cloud, and IoT data, visit Striim at the Strata Data Conference at booth #1227.
More information on these awards can be found at the Datanami website (www.datanami.com) or on Twitter through the hashtag: #DatanamiAwards.
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 Datanami
Datanami is one of the premier online portals covering big data, produced by Tabor Communications, Inc. (TCI) a leading international media, advertising and communications company dedicated to covering advance computing technologies for science, research and business. Datanami is a premier online portal covering big data. It is produced by Tabor Communications, Inc. Receive a complimentary subscription to the weekly Datanami e-newsletter by visiting datanami.com/subscribe. View daily news at www.datanami.com.
Microsoft Azure customers worldwide now gain access to Striim for Azure SQL Data Warehouse to take advantage of the scalability, reliability, and agility of Microsoft Azure to drive application development and shape business strategies.
PALO ALTO, CA – July 15, 2019 – Striim, provider of an enterprise-grade platform for streaming data integration, today announced that the Striim platform is now available in the Microsoft Azure Marketplace, an online store providing applications and services for use on Microsoft Azure. Striim customers can now take advantage of the scalability, high availability, and security of Azure, with streamlined deployment and management.
Striim’s end-to-end platform offers a secure, reliable, and scalable service for real-time movement of data from a variety of sources including data warehouses, databases – via non-intrusive, minimal impact change data capture – log files, messaging systems, sensors, and Hadoop solutions. While moving the data, Striim filters, aggregates, transforms, masks, and enriches the streaming data to deliver it in a consumable format. Striim supports moving real-time data to Azure SQL Data Warehouse, Azure SQL Database, Azure Cosmos DB, Azure Event Hubs, Azure Data Lake Storage, Azure Database Services for PostgreSQL and MySQL, and Azure HDInsight, enabling users to make operational decisions based on time-sensitive data.
“Businesses adopting cloud-based analytics need to ensure reliable, real-time and continuous data delivery from on-premises and cloud-based data sources to gain maximum value from their investments,” stated Alok Pareek, EVP of Products, 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.”
Sajan Parihar, Director, Microsoft Azure Platform at Microsoft Corp said, “We’re excited to welcome Striim to the Microsoft Azure Marketplace, which gives our partners great exposure to cloud customers around the globe. Azure Marketplace offers world-class quality experiences from global trusted partners with solutions tested to work seamlessly with Azure.”
The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use.
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.
Microsoft Azure customers worldwide now gain access to Striim for Azure Database for PostgreSQL to take advantage of the scalability, reliability, and agility of Microsoft Azure to drive application development and shape business strategies.
PALO ALTO, CA, USA – June 27, 2019 – Striim, provider of an enterprise-grade platform for streaming data integration, today announced the availability of Striim for Azure Database for PostgreSQL in the Microsoft Azure Marketplace, an online store providing applications and services for use on Microsoft Azure. Striim customers can now take advantage of the scalability, high availability, and security of Azure, with streamlined deployment and management.
Striim offers a secure, reliable, and scalable service to simplify the real-time data collection, preparation, and delivery to PostgreSQL. Striim uses low-impact CDC to avoid any modification or performance impact on source production systems. In-flight data filtering, transformation, aggregation, masking, and enrichment increases productivity, minimizes latency, and reduces on-premises ETL efforts. Striim enables users to synchronize partial data sets for reporting use cases and helps avoid batch movement inefficiencies.
“Delivering continuously updated data in real time to Azure Database for PostgreSQL, and combining that with built-in processing of data-in-motion, Striim provides timely data with full context for any downstream operations,” said Alok Pareek, EVP of Products, Striim.
Sajan Parihar, Director, Microsoft Azure Platform at Microsoft Corp said, “We’re excited to welcome Striim for Azure Database for PostgreSQL to the Microsoft Azure Marketplace, which gives our partners great exposure to cloud customers around the globe. Azure Marketplace offers world-class quality experiences from global trusted partners with solutions tested to work seamlessly with Azure.”
The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use.
The Striim® platform is an enterprise-grade stream data integration solution for moving data in real time to the cloud and other targets. Striim makes it easy to continuously ingest high volumes of streaming data from diverse sources (both on-premises and in the cloud), and provide stream processing and transformations to support cloud adoption, and multi- and hybrid cloud infrastructures, as well as Kafka, Hadoop, and NoSQL integrations. Striim can continuously collect data from enterprise databases (using non-intrusive change data capture), log files, cloud applications, messaging systems, and sensors, 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 receives top ranking in Small Companies category for second time in three years
Palo Alto, CA – June 25, 2019 – Striim, provider of an enterprise-grade platform for streaming data integration, today announced it has been awarded the number one ranking in the Small Companies category of the Bay Area News Group Top Workplaces award. This is the third year in a row that Striim has included in the top five, and the second time in three years it has received the top ranking.
The list is based solely on employee feedback gathered through a third-party survey administered by research partner Energage, LLC, 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.
“It’s a great honor to once again be recognized as the #1 top workplace for small companies in the Bay Area by such a well-respected organization as the Bay Area News Group,” said Katherine Rincon, SVP of Marketing at Striim. “It’s extremely competitive in the Bay Area, and specifically in the Silicon Valley, to attract and retain top talent. By offering the opportunity to work on leading-edge technology in a fun and nurturing company culture, Striim continues to earn the satisfaction, motivation, and respect of its employees.”
“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.”
“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 stream data integration solution for moving data in real time to the cloud and other targets. Striim makes it easy to continuously ingest high volumes of streaming data from diverse sources (both on-premises and in the cloud), and provide stream processing and transformations to support cloud adoption, and multi- and hybrid cloud infrastructures, as well as Kafka, Hadoop, and NoSQL integrations. Striim can continuously collect data from enterprise databases (using non-intrusive change data capture), log files, cloud applications, messaging systems, and sensors, 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 Energage, LLC
Headquartered in Exton, Pa., Energage 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 57,000 organizations representing well over 19 million employees in the United States.
PALO ALTO, CA – June 13, 2019 – For the third year in a row, Striim, provider of an enterprise-grade platform for stream data integration, today announced it has been included in the Database Trends and Applications (DBTA) magazine’s seventh annual “DBTA 100: The Companies That Matter Most in Data,” a list that acknowledges today’s top companies in data management and analysis.
“The rapidly growing use of cloud analytics, and other technological innovations, are enabling organizations to interact and gain insights from data to make operational business decisions like never before. However, for timely insights, access to real-time streaming information is critical.” stated Steve Wilkes, Founder and CTO of Striim. “With Striim’s end-to-end, enterprise-grade platform, users can modernize their architecture to collect data as it’s generated, process it, and continuously deliver it to cloud or other environments; as well as directly analyzing, and visualizing the data, in order to make real-time operational decisions. Striim is proud to be recognized once again by DBTA as an innovator in helping companies make sense of their data.”
From long-standing industry veterans to new big data vendors disrupting the status quo, 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 seventh annual list, as the industry continues to grow and evolve,” remarked Thomas Hogan, Group Publisher at Database Trends and Applications. “Today, more than ever, businesses are looking to increase their efficiency, agility and ability to innovate by managing and leveraging data in new and novel ways. 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 information on Striim and the platform.
About Striim
The Striim® platform is an enterprise-grade stream data integration solution for moving data in real time to the cloud and other targets. Striim makes it easy to continuously ingest high volumes of streaming data from diverse sources (both on-premises and in the cloud), and provide stream processing and transformations to support cloud adoption, multi- and hybrid cloud infrastructures, and Kafka, Hadoop, and NoSQL integration. Striim can continuously collect data from enterprise databases (using non-intrusive change data capture), log files, cloud applications, messaging systems, and sensors, 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 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.
Company Included in “The Coolest Big Data Management and Integration Software” Category
Palo Alto, CA, May 13, 2019 – Striim, provider of an enterprise-grade platform for streaming data integration, announced today that CRN®, a brand of The Channel Company, has named Striim to its 2019 Big Data 100 list, being included in “The Coolest Big Data Management and Integration Software” category. This annual list recognizes technology suppliers bringing to market ground-breaking offerings to effectively manage the ever-growing amounts of data generated everyday.
To compile the list, the CRN editorial team identifies IT vendors at the forefront of data management, business analytics, and infrastructure technologies and services. The resulting Big Data 100 list has become a trusted resource to solution providers, helping them identify the right vendors to partner with.
As the IT community continues to collect massive volumes of valuable data, managing this giant information stream continues to be a complex and delicate process. It requires expertise in data capture, storage, organization, tiering, security and analysis. Businesses are constantly struggling with the exploding volume, speed, and variety of information they produce and utilize on a daily basis. Solution providers are on a never-ending mission to help them fully manage and utilize this data with innovative tools, technologies, and services that can convert it into meaningful information.
As an end-to-end solution, the Striim platform was built from the ground up to collect, process, and deliver enterprise data in real time. The Striim platform can ingest large volumes of data from a variety of sources, and deliver that to a number of targets with sub-second latency. While the data is in-flight, before it lands on disk, Striim can filter, aggregate, enrich, and transform the data so users can make operational decisions based on time-sensitive data. Striim provides the ability to easily build and customize real-time dashboards and alerts, enabling users to view and monitor their data in real time.
“Data is one of the most valuable assets a company has, so being able to appropriately leverage and utilize information while it’s relevant is a critical competitive advantage,” stated Katherine Rincon, Senior Vice President of Marketing, Striim. “It’s an exciting time, as more and more organizations take action to work with their data in a streaming fashion. We’re honored to be recognized by CRN as a company that is leading the charge in helping organizations move towards a streaming data architecture.”
“CRN’s 2019 Big Data 100 list identifies tech suppliers with a reliable track record of working together with solution providers and their customers to fully capture, analyze,and protect their data,” said Bob Skelley, CEO of The Channel Company. “The innovative products and services they have brought to market raise the bar for data management and improve upon outdated IT practices.”
Most recently, Striim announced a strategic partnership with Snowflake to provide real-time data to Snowflake, accelerating data-driven analytics in the cloud for users. Striim also announced a partnership with Google Cloud to provide a data migration service to move data into databases running on Google Cloud Platform.
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 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 unequalled channel experience, we draw from our deep knowledge to envision innovative new solutions for ever-evolving challenges in the technology marketplace. www.thechannelcompany.com
Palo Alto, CA – May 2, 2019 – Striim, provider of an enterprise-grade platform for streaming data integration, announced today that the company was named a 2019 SIIA CODiE Awards Finalist in the Best Integration Platform as a Service (iPaaS) category. This category recognizes the best solutions designed to integrate disparate applications, operating systems, data, and/or business processes used within an organization in order to simplify and automate their use and eliminate silos of information and functionality.
Real-time data integration is crucial for hybrid and multi-cloud architectures. Running in the cloud, the Striim platform supports all aspects of data iPaaS as it relates to hybrid and multi-cloud deployments.
The Striim platform continuously collects, prepares, and delivers streaming enterprise data to cloud services in real time. Striim can ingest data from a variety of sources (such as on-premises and cloud-based databases, message systems, Hadoop solutions, data warehouses, etc.), and deliver to a number of cloud services on Azure, AWS, and Google Cloud Platform, as well as to other storage and messaging targets. Additionally, while the data is in motion, Striim is able to filter, aggregate, transform, and enrich it before delivering to the cloud in order to optimize cloud storage and promote operational efficiency.
The SIIA CODiE Awards are the premier awards for the software and information industries and have been recognizing product excellence for over 30 years. The awards offer 76 categories that are organized by industry focus of education technology and business technology. Striimwas honored as one of 137 finalists across the 44 business technology categories.
“The 2019 CODiE Award finalists are some of the most innovative, high-impact products in the market. We are thrilled to place a spotlight on these innovations and the power they have to transform the future of how we do business.” said Jeff Joseph, President of SIIA.
“Striim is the only real-time data integration platform running in the cloud that has been built specifically to support cloud computing,” stated Steve Wilkes, Founder and CTO of Striim. “Striim’s iPaaS solutions for real-time data integration in the cloud brings the agility and cost benefits of the cloud to integration use cases. We’re honored that Striim has been recognized by SIIA as a CODiE Awards Finalist for the Best Integration Platform as a Service.”
The SIIA CODiE Awards are the industry’s only peer-recognized awards program. Business technology leaders including senior executives, analysts, media, consultants and investorsevaluate assigned products during the first-round review which determines the finalists. SIIA members then vote on the finalist products and the scores from both rounds are tabulated to select the winners.Winners will be announced during the Business Technology & Company CODiE Award Winner Announcement Party immediately following TechConText, June 12 in San Francisco.
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 the SIIA CODiE™ Awards
The SIIA CODiE Awardsis the only peer-reviewed program to showcase business and education technology’s finest products and services. Since 1986, thousands of products, services and solutions have been recognized for achieving excellence. For more information, visit siia.net/CODiE.
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:
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.
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.
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 AmazonRedshiftis 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.
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 downloadthe 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.
Striim is an end-to-end, real-time data integration and intelligence platform. Ingest data in real-time from a wide variety of sources. Make it more valuable while it's streaming before loading it to common data targets.
Palo Alto, CA, April 29, 2020—Striim’s platform enables continuous, real-time data ingestion, integration, processing and delivery. The system utilizes low-impact change data capture to ingest high-volume, high-velocity data from databases, log files, messaging systems, Hadoop, cloud applications and IoT devices. The technology performs in-flight data processing, including transformations and aggregations, before delivering it to diverse on-premises and cloud environments.
