August 14, 2025
5 min read
Striim, Inc.
Striim Announces Major 5.2 Release with New AI Agents and Vector Generation for Real-Time Enterprise AI
PALO ALTO, Calif., Aug. 13, 2025 (GLOBE NEWSWIRE) — Enterprises are rapidly adopting AI, but face challenges modernizing infrastructure, systems, and applications to support an AI-driven future. With sprawling multi-cloud data estates, organizations struggle with brittle data pipelines, batch ETL delays, lack of automation, and siloed architectures that complicate integration. Striim’s latest product release, Striim 5.2, addresses these challenges by empowering enterprises with new endpoint connectors such as Neon serverless Postgres, IBM DB2 z/OS, Microsoft Dynamics, and more. The release introduces native, real-time, automated AI agents that enhance data pipelines without increasing operational complexity. It also adds real-time support for legacy mainframe integration and data delivery into serverless PostgreSQL and open lakehouse destinations.Key Capabilities of Striim 5.2
- Accelerating Real-Time AI: Striim is embedding AI directly into live data streams. Following the Sherlock and Sentinel AI agents for sensitive data governance, 5.2 introduces two new AI agents: - Foreseer for anomaly detection and forecasting - Euclid for real-time vector embedding generation These enable teams to embed intelligence into data pipelines seamlessly. Additionally, Striim expands support to AI-ready databases like Crunchy Data and Neon, optimized for AI workloads and in-database AI applications.
- Driving Enterprise Modernization: Real-time data ingestion from IBM DB2 on z/OS is now supported, simplifying legacy system modernization. Enterprises can integrate mainframe data into the cloud and build high-throughput pipelines from systems including IBM DB2, Oracle, Snowflake, SQL Server, and others to power analytics and applications.
- Powering Digital Transformation: Striim supports Apache Iceberg table format alongside Delta, enabling data interoperability to break silos and future-proof architectures. Data can now be written in Iceberg format to cloud data lakes and warehouses such as Snowflake and Google BigQuery, allowing customers to extend pipelines without rearchitecting applications.
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Executive Insight
Alok Pareek, Co-founder and Executive Vice President of Product and Engineering at Striim, stated:“With Striim 5.2, we’re delivering a unified, powerful platform that spans data integration from legacy systems to AI-driven innovation. Whether unlocking mainframe data, embracing open table formats like Apache Iceberg, predicting anomalies, or embedding vectors with AI pipelines, Striim makes it simple. Our extensive enterprise-grade connector support combined with performance, scalability, and security enables businesses to connect anything, stream everything, and power AI everywhere.”
About Striim, Inc.
Striim pioneers real-time intelligence for AI by unifying data across clouds, applications, and databases via a fully managed SaaS platform. Optimized for modern cloud data warehouses, Striim transforms relational and unstructured data into AI-ready insights instantly using advanced analytics and machine learning frameworks. The platform supports sub-second latency processing of over 100 billion daily events, enabling ML analytics and proactive decision-making. Striim’s technology includes industry-leading CDC for Oracle, PostgreSQL, MongoDB, and more. Learn more at www.striim.com.Media Contact
Dianna Spring, Vice President of Marketing at Striim Phone: (650) 241-0680 ext. 354 Email: press@striim.comSource: Striim Announces 5.2 - Major Release adds new AI Agents for Predictive Analytics and Vector generation for building novel Gen AI Enterprise Applications with real-time Intelligence