Latest Advancements Enable Organizations to Quickly Operationalize AI

Dremio, the Intelligent Data Lakehouse Platform, has announced the availability of its latest release, introducing breakthrough intelligence capabilities designed to accelerate AI and analytics projects while reducing costs. Revealed at Iceberg Summit 2025, the enhancements include Autonomous Reflections, Iceberg Clustering, AI-enabled Semantic Search, and updates to the Enterprise Catalog — all aimed at eliminating manual performance tuning and simplifying data discovery.

By automating complexity and minimizing resource waste, Dremio empowers teams to innovate efficiently while maintaining robust data governance. Learn more or join the company at Iceberg Summit to explore the new capabilities in action.

The Only Lakehouse with Autonomous Performance

Dremio introduces intelligent features to free data engineers from manual tasks like performance tuning and extract creation:

  • Autonomous Reflections – An industry-first feature that automatically optimizes performance using live query patterns. These materializations serve as a dynamic cache, ensuring fast, accurate results without altering SQL, reducing compute costs and enabling sub-second queries for all workloads.
  • Iceberg Clustering – The first data clustering innovation for Apache Iceberg™. This feature removes the need for manual table partitioning by automatically optimizing data layouts, delivering significantly faster queries and lower compute costs.

Rapidly Create AI-Ready Data Sets

AI projects often stall due to challenges in preparing datasets. Dremio streamlines this with a unified semantic layer and AI-enhanced search tools:

  • AI-enabled Semantic Search – Accelerates data discovery from days to seconds using natural language. This enables business users and AI agents to explore data across the enterprise using business-friendly terms—no SQL skills required.

Open and Flexible Iceberg Architecture

Built on open standards, Dremio’s platform offers full interoperability for cloud and on-premises environments:

  • Open Architecture with Polaris Catalog – Powered by Apache Iceberg™ and Apache Polaris™ (Incubating), this enterprise catalog introduces fine-grained access controls, lineage tracking, and deep governance. The catalog ensures data sovereignty and promotes collaboration across tools and engines.

"Apache Polaris (Incubating) is the next step toward true data interoperability," said Russell Spitzer, PMC of Apache Iceberg and PPMC of Apache Polaris. "Its open governance approach empowers the entire industry to contribute to a vendor-neutral standard."

"With Dremio’s Enterprise Catalog on STACKIT, we ensure secure, sovereign data management in our cloud," added Benjamin Schweizer, Senior Manager at STACKIT – Central Services.

Built to Fuel AI and Analytics

Bringing all these innovations together, Dremio’s intelligent lakehouse platform allows organizations to unlock the full value of their data, faster and more securely than ever.

"AI demands massive, high-quality data—but teams are being asked to do more with less," said Tomer Shiran, founder of Dremio. "Our Spring 2025 release solves this challenge. From Autonomous Reflections to Apache Polaris, we’ve created the first platform that delivers the speed, governance, and flexibility enterprises need for AI-driven success."