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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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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

Striim 5.2 enhances real-time AI with new agents, legacy system integration, and support for AI-ready databases and open lakehouse formats.

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.
  • 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.com
    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

    Frequently Asked Questions (FAQ)

    Striim 5.2 Release and AI Capabilities

    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 does Striim accelerate real-time AI? A: Striim embeds AI directly into live data streams, enabling seamless integration of intelligence into data pipelines through its new AI agents and expanded support for AI-ready databases. Q: What is vector generation in the context of Striim 5.2? A: Vector generation, specifically handled by the 'Euclid' AI agent, refers to the process of creating real-time vector embeddings, crucial for AI applications like semantic search and recommendation systems.

    Enterprise Modernization and Digital Transformation

    Q: How does Striim 5.2 support enterprise modernization? A: Striim 5.2 enhances real-time data ingestion from legacy systems like IBM DB2 on z/OS, simplifying cloud integration and modernizing mainframe data access. Q: What are the benefits of Striim's support for Apache Iceberg? A: Striim's support for Apache Iceberg, alongside Delta, promotes data interoperability, helps break down data silos, and future-proofs architectures by allowing seamless data delivery to cloud data lakes and warehouses. Q: How does Striim facilitate digital transformation? A: By enabling real-time data streaming and supporting open table formats, Striim helps organizations break down data silos and build more agile, future-proof architectures, powering their digital transformation initiatives.

    Data Integration and Connectivity

    Q: What new endpoint connectors are included in Striim 5.2? A: Striim 5.2 introduces new endpoint connectors for Neon serverless Postgres, IBM DB2 z/OS, Microsoft Dynamics, and more. Q: How does Striim handle mainframe data integration? A: Striim 5.2 provides real-time support for legacy mainframe integration, enabling enterprises to integrate mainframe data into the cloud for analytics and applications.

    Crypto Market AI's Take

    The advancements in Striim's 5.2 release, particularly the integration of AI agents like 'Foreseer' for forecasting and 'Euclid' for vector generation, highlight a growing trend in enterprise data management. This focus on real-time AI and sophisticated data pipelines mirrors the demand for advanced analytics in the financial sector, including the cryptocurrency markets. Our platform, AI Crypto Market, leverages similar AI-driven approaches to provide users with cutting-edge market intelligence and automated trading strategies. By integrating AI directly into data streams, Striim is enabling businesses to derive immediate value and insights, a principle that is also fundamental to our mission of revolutionizing finance through accessible and efficient cryptocurrency solutions. This continuous innovation in data processing and AI integration is crucial for staying competitive in today's rapidly evolving digital landscape.

    More to Read:

  • Discover how AI agents are transforming the future of business automation and customer engagement.
  • Explore the latest in cryptocurrency market analysis and trading insights from our expert team.
  • Learn about the key features of our AI-powered crypto trading platform.
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