PALO ALTO, Calif. August 20, 2026 – Striim announced Striim 5.4.2, a release that makes enterprise data agent-ready through a new MCP server and real-time delivery to popular AI-critical and analytics data stores including Google BigQuery, Snowflake, AWS RedShift, ClickHouse, Microsoft Fabric, and Databricks.
Agent-based systems are swiftly becoming the default interface for enterprise workflows. But to operate intelligently, agents and the models beneath them require fresh, governed data available for agentic systems in real time. Stale data can cause agents to provide incorrect responses and inconsistent reasoning and plans.
For example, despite near-universal adoption, Gartner estimated that 60% of AI projects would be abandoned by 2026 due to a lack of AI-ready data. Enterprise AI initiatives remain starved of the data context they need. Either their data is too stale (models reasoning on outdated context) or ungoverned (sensitive data passes through without adequate checks and protections).
Striim 5.4.2 addresses these challenges head-on. With this latest release, enterprises get a data platform that is AI- and agent-ready: combining real-time data movement, in-stream intelligence, and sub-second visibility in one conversational, AI-powered platform, across clouds and multi-cloud environments.
Striim delivers this by meeting the four C’s of agent-ready data:
- Current: Striim delivers data in second or sub-second latency, capturing real-time truth as it happens.
- Consistent: Striim’s powerful schema evolution capabilities plus high-speed data discrepancy validation methods across various data sources ensure data is clean, fresh, tracked, and consistent across systems.
- Consumable: Striim unifies inputs from clouds, apps, and databases in a single platform and leverages in-flight transformations to make data decision-ready for agentic systems.
- Contextual: Striim ensures data is integrated, governed, and enriched into trusted context an agent can act on immediately.
“Models provide reasoning and agents provide action, but data provides the truth, and an agent acting on stale or ungoverned data will confidently reach the wrong conclusion,” said Alok Pareek, Founder and EVP of Engineering and Products at Striim. “With 5.4.2, we’ve focused the platform on the four things enterprise AI actually needs from its data: that it’s current, consistent, consumable, and contextual. That’s what turns a promising AI pilot into a production system leaders can trust.”
From AI Pilots to Agentic Production
Real-time data streams bridge the gap between enterprise systems and context-starved agents. To move fast and operate reliably at scale across a heterogeneous, multi-cloud estate, they need a platform that matches the pace and scope of their ambitions.
Striim 5.4.2 makes it easier than ever to deploy robust, agent-ready data architectures through two landmark features.:
- Striim’s Conversational AI interface: Striim customers can now build pipelines and operate their cluster conversationally in natural language. They can interact with Striim to create, deploy, and monitor pipelines through an AI assistant, or leverage their LLM of choice (OpenAI, Google Gemini, Anthropic, or locally via Ollama).
- Striim MCP Server: Striim is now accessible within the enterprise agentic ecosystem. Customers or their agents can query, modify, or build from their preferred AI tooling such as Claude, OpenAI etc.
With Striim 5.4.2, enterprises can:
- Feed AI and agentic workloads in real time: Striim’s new Striim SmartMap intelligently maps individual source tables to individual topics, so downstream agents can be driven by the exact data streams they need. Striim’s new ClickHouse Writer delivers real-time data into one of the fastest-growing engines for AI workloads.
- Reach more of the AI data estate: Expanded connectivity brings JSON and array support for Google Spanner, Databricks on Google Cloud, Amazon S3 Tables and other managed Apache Iceberg formats, Google Firestore, and a new HubSpot writer, meeting AI initiatives wherever their data lives.
- Deliver trusted data faster: Fast Snapshot Load uses multi-query reads and partition-aware parallelism to accelerate initial loads and backfills by up to 5x, moving historical data to downstream data lakes and agents faster so they operate with full context. PII Deep Scan (powered by in-flight AI agents, Sherlock and Sentinel) detects, tags, and masks multiple types of sensitive data in motion, so data is governed before it lands.
- Operate mission-critical pipelines with confidence: Transaction cache intelligence with smart alerting, upsert support for database and Spanner writers, and expanded governance, including Java 17, deployment on Google Kubernetes Engine, extended SSO, and completed StreamVault secrets-manager coverage, keep enterprise pipelines healthy, secure, and running continuously.
Availability
Striim 5.4.2 is generally available. Contact Striim for more details.
About Striim
Striim pioneers real-time data intelligence for AI by unifying data across clouds, applications, and databases via a fully managed, SaaS-based platform. Striim’s platform, optimized for modern cloud data lakehouses and data warehouses, transforms relational and unstructured data into AI-ready insights instantly with advanced analytics and ML frameworks, enabling swift business action. Striim leverages its expertise in real-time data integration, streaming analytics, and database replication—including industry-leading Oracle, PostgreSQL, and MongoDB CDC technology—to achieve sub-second latency in processing over 100 billion daily events for ML analytics and proactive decision-making. To learn more, visit www.striim.com.
Media Contact:
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