Striim Pushes the Boundaries of Performance and Scale to

PALO ALTO, Calif., June 07, 2022 (GLOBE NEWSWIRE) – Today, Striim, Inc. announced Striim Platform 4.1, the latest version of its unified real-time data integration and streaming platform. This new release will build on Striim’s industry-leading capabilities by increasing the number of sources and targets that customers can read and write to using Striim’s built-in adapters, with more than 125 sources and targets now supported, including data ingestion using change streams from Azure Cosmos DB and transmission to Databricks Delta Lake. Striim Platform 4.1 offers significant enhancements for customers to stream and integrate scale data by simplifying the management of hundreds of data pipelines running in a Striim cluster. Customers can enable their high-performance applications by reading multi-terabytes of data per day using OJet, a new and efficient Oracle Change Data Capture (CDC) reader. Striim also supports emerging workload patterns and collaboration with developers and database administrators by sending real-time alerts and notifications to their Slack channels. To get started with Striim Platform 4.1, visit

“The data-driven enterprise of 2025” requires data to be “processed and delivered in real time” so that it can be “embedded in every decision, interaction, and process,” according to McKinsey and Company, the leading management consulting firm. McKinsey identified key enablers such as infrastructure that could deliver “high-bandwidth, low-latency data,” “modern data architectures” that could support a wide range of data stores such as relational and NoSQL databases and messaging systems, and enterprise architectures for real-time analysis that can lead to faster, more powerful insights and better decision making.

With a few clicks, Striim customers can quickly generate smart real-time data pipelines to stream trillions of events every day, supported by enterprise-level scalability, security, and feature with high availability. Striim Plaform’s zero-maintenance, infinitely scalable platform enables digital customers to transform their businesses by quickly adopting new cloud models, digitizing legacy systems, and modernize their application infrastructure.

“Stiim is the only solution that delivers unified real-time data integration and SQL-driven data streaming to enable end-to-end smart data pipelines for digital transformation,” said Alok Pareek, Executive Vice President of Products and Engineering at Striim. “We’re bringing more to our customers: more performance and bigger scale so they can continue to expand their data platforms to discover new meaning and relationships in their data to accelerate change.”

Striim Platform 4.1 expands its mission with key features such as:

New adapters for reading high throughput data streams: High -performance applications can generate high volumes of data from operational databases. Striim launched OJet, the industry’s fastest CDC reader that reads up to several hundred gigabytes of data per hour from Oracle databases (up to version 21c). For enterprises running large operational workloads using Azure Cosmos DB, Striim has introduced two new CDC adapters to read data using the SQL API or the MongoDB API to support analytics and streaming use cases.

Smart rebalance application for optimal resource management and scaling: Customers are now deploying the Striim Platform across multiple clusters spanning large numbers of nodes to stream trillions of events daily. Striim 4.1 maximizes operational uptime by allowing customers to track the compute and memory resources used by their data pipelines, easily rebalance pipelines on servers with spare capacity, and quickly free up unused memory and make it available to other data pipelines.

End-to-end real-time big-data analytics: With Striim Platform 4.1, customers can run their large data architectures using real-time data pipelines that can read data stored in Parquet format to sources such as Amazon S3 and Hadoop File Systems and write to targets such as Databricks Delta Lake, Snowflake, Azure Synapse, Google BigQuery, and Amazon Redshift. Striim’s smart data pipelines automatically modify the data to match the format on the target side, thus reducing the setup and maintenance burden on customers.

Real-time collaboration and workflow automation: Customers can configure Striim to send alerts and notifications to their Slack channels so developers and database administrators can monitor and react to their data pipelines in real-time. Additionally, customers can build Slack integrations with enterprise tools like ServiceNow or PagerDuty to automatically generate IT tickets based on incoming alert messages.

Striim Platform 4.1 is available now. Interested CIOs, CDOs, and data engineers can learn more about the latest features here at our LinkedIn Live event on June 7th.

About Striim
Striim, Inc. is the only supplier of unified, real-time data streaming and integration for analytics and operations in the digital economy. The Striim Platform and Striim Cloud facilitate the continuous ingestion, processing, and delivery of high volumes of real-time data from diverse sources (both on-premises or in the cloud) to support multi- and hybrid cloud infrastructure. Striim collects data in real time from enterprise databases (using uninterrupted change data retrieval), log files, messaging systems, and sensors and delivers it to virtually any target in the area or in cloud with sub-second latency enabling real-time operations and analysis. For more information, visit, read our blog at, follow @striimteam, roll out the Striim Cloud service, or download the Striim platform.

Media Contact:

Nichols Communications for Striim, Inc.
Jay Nichols
+1 408 772 1551
[email protected]


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