Striim Announces Major 5.2 Release with New AI Agents and Enhanced Enterprise Integration

PALO ALTO, Calif., Aug. 13, 2025 (GLOBE NEWSWIRE) — As AI adoption accelerates across enterprises, organizations face challenges modernizing infrastructure and data pipelines to support AI-driven applications. Striim’s latest release, Striim 5.2, addresses these challenges by introducing new AI agents, expanded real-time connectors, and support for AI-ready data architectures.

Addressing Enterprise AI Challenges

Enterprises today manage sprawling multi-cloud data estates but struggle with brittle data pipelines, ETL batch delays, siloed data, and lack of automation. Striim 5.2 empowers businesses to overcome these hurdles by:

• Adding new endpoint connectors including Neon serverless Postgres, IBM DB2 z/OS, Microsoft Dynamics, and more.
• Delivering native, real-time, automated AI agents that integrate seamlessly into data pipelines without operational complexity.
• Supporting legacy mainframe data integration and delivery into serverless PostgreSQL and open lakehouse destinations.

Key Features and Innovations

Accelerating Real-Time AI

Striim 5.2 introduces two new AI agents:
• Foreseer: Provides anomaly detection and forecasting capabilities.
• Euclid: Enables real-time vector embedding generation for AI applications.
These agents allow embedding intelligence directly into data streams, enhancing predictive analytics and enabling novel Gen AI enterprise applications. Additionally, Striim expands support for AI-ready databases like Crunchy Data and Neon, optimized for AI workloads and in-database AI.

Driving Enterprise Modernization

Striim now supports real-time data reading from IBM DB2 on z/OS mainframes, facilitating modernization of legacy systems. Enterprises can build high-throughput data pipelines integrating data from IBM DB2, Oracle, Snowflake, SQL Server, and other enterprise-grade systems to power analytics and applications.

Powering Digital Transformation

Supporting Apache Iceberg, Striim enables data interoperability to break down silos and future-proof data architectures. Beyond Delta Lake, Striim 5.2 supports writing data in Iceberg format to cloud data lakes and warehouses such as Snowflake and Google BigQuery. This allows customers to extend pipelines without rearchitecting applications.

Executive Insight

Alok Pareek, Co-founder and Executive Vice President of Product and Engineering at Striim, stated:

“With Striim 5.2, we’re giving enterprises a unified, practical, powerful platform that encompasses data integration from legacy systems to AI-driven innovation. Whether you're unlocking mainframe data, embracing open table formats like Apache Iceberg, predicting anomalies, or embedding vectors using AI pipelines, Striim makes it simple. Our unmatched support for hundreds of enterprise-grade connectors—combined with the performance, scalability, and security that global businesses demand—means you can 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 with advanced analytics and machine learning frameworks, enabling swift business action. Leveraging expertise in real-time data integration, streaming analytics, and database replication—including Oracle, PostgreSQL, and MongoDB CDC technologies—Striim achieves sub-second latency processing over 100 billion daily events for ML analytics and proactive decision-making. Learn more at www.striim.com.

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Media Contact: Dianna Spring, Vice President of Marketing at Striim Phone: (650) 241-0680 ext. 354 Email: press@striim.com

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Source: 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

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Frequently Asked Questions (FAQ)

AI Agents in Data Pipelines

Q: What are the new AI agents introduced in Striim 5.2? A: Striim 5.2 introduces two new AI agents: Foreseer for anomaly detection and forecasting, and Euclid for real-time vector embedding generation. Q: How do these AI agents benefit enterprise AI applications? A: These agents embed intelligence directly into data streams, enhancing predictive analytics and enabling novel Generative AI enterprise applications. Q: Can Striim 5.2 integrate with legacy mainframe data for AI purposes? A: Yes, Striim 5.2 supports real-time data integration from legacy mainframe systems like IBM DB2 on z/OS, delivering it to AI-ready destinations.

Enterprise Integration and Modernization

Q: What types of enterprise systems can Striim 5.2 integrate with in real-time? A: Striim 5.2 can integrate in real-time with systems such as IBM DB2, Oracle, Snowflake, Microsoft Dynamics, and others, facilitating modernization and powering analytics and applications. Q: How does Striim 5.2 support data interoperability and future-proofing data architectures? A: By supporting open table formats like Apache Iceberg, Striim 5.2 enables data interoperability and allows customers to extend pipelines without rearchitecting applications.

Real-Time Data Streaming

Q: What are the key advantages of Striim 5.2 for accelerating real-time AI? A: Striim 5.2 accelerates real-time AI by providing native, automated AI agents that seamlessly integrate into data pipelines and expanding support for AI-ready databases. Q: What is the primary goal of Striim's latest release, Striim 5.2? A: The primary goal is to address the challenges enterprises face in modernizing infrastructure and data pipelines to support the accelerating adoption of AI-driven applications.

Crypto Market AI's Take

Striim's latest release, Striim 5.2, highlights a significant trend in enterprise data management: the critical need for real-time data pipelines to fuel AI advancements. This aligns perfectly with our mission at Crypto Market AI, where we leverage advanced AI and machine learning to provide deep market intelligence and automated trading solutions. The introduction of AI agents like Foreseer and Euclid by Striim demonstrates a move towards embedding predictive and analytical capabilities directly within the data flow, a concept mirrored in our own development of sophisticated AI trading bots and analytical tools. Enterprises looking to harness the power of AI for predictive analytics, anomaly detection, and efficient data integration can find valuable parallels in how we utilize AI for market forecasting and strategy execution in the cryptocurrency space. Understanding the flow of data and the application of AI within that flow is crucial for navigating both traditional enterprise landscapes and the dynamic cryptocurrency markets.

More to Read:

• AI Agents: Revolutionizing Market Analysis and Trading Strategies
• The Future of Cryptocurrency Trading: AI-Powered Platforms
• Understanding Real-Time Data in Financial Markets