What’s New in Dremio’s Newest Release: Accelerate AI with Intelligent Automation

Today, we're excited to announce the general availability of Dremio's latest release, delivering accelerated AI and analytics through intelligent automation. Marking the next generation of Dremio, this release represents a significant milestone in our mission to eliminate technical complexity and resource waste through autonomous capabilities, empowering teams to innovate rather than maintain.

In today's economic climate, organizations face the challenge of advancing AI initiatives with greater speed and fewer resources. Dremio's newest release addresses these challenges head-on by introducing groundbreaking features that optimize performance automatically, unify data governance, and make data instantly discoverable for AI and analytics teams.

"The paradox today is clear: AI demands massive amounts of high-quality data, yet teams are being asked to do more with less," said Tomer Shiran, founder of Dremio. "Our Spring 2025 release resolves this tension by eliminating the bottlenecks slowing teams down. With Autonomous Reflections and Iceberg Clustering, data teams no longer have to worry about query performance. With Apache Polaris, AI-Enabled Semantic Search, and an MCP interface, AI agents and other data consumers can instantly find what they need. We're transforming how enterprises deliver data for AI initiatives. No other platform provides this combination of speed, governance, and flexibility."

Accelerate AI with Intelligent Automation

The cornerstone of Dremio's newest release is intelligent automation across three core dimensions:

1. Autonomous Performance

Data teams today spend countless hours manually tuning datasets and queries for performance. This release eliminates this burden through two revolutionary capabilities:

Autonomous Reflections automatically determine what data to materialize and how to rewrite queries based on usage patterns. These intelligently created and updated materializations act like a persistent, always-fresh cache—automatically optimizing performance while ensuring queries run on live, up-to-date data with no SQL changes. By eliminating time-consuming manual performance tuning, Autonomous Reflections deliver sub-second queries for all AI and BI workloads while significantly reducing compute costs.

Iceberg Clustering intelligently optimizes the data layout in an Apache Iceberg lakehouse by automatically reorganizing data within partitions, sorting files for faster queries, compacting small files, and optimizing metadata. This eliminates the manual effort of data layout optimization, dramatically reducing query times and compute costs.

2. Unified Governance

The explosion of data and tools across organizations has created governance challenges that hamper AI adoption and create risk across the enterprise. This release addresses this with:

Enterprise Catalog powered by Apache Polaris is an Iceberg-native catalog that provides unified metadata management, fine-grained access controls, and data lineage tracking, enabling a fully governed and high-performance Iceberg lakehouse—deployable anywhere. This catalog delivers a supported metastore that unifies governance and works with all Iceberg-compatible engines and tools, eliminating lock-in and delivering flexibility.

"Empowering our customers with robust data governance on STACKIT is crucial,” said   Benjamin Schweizer Senior Manager, Domain Product Owner, STACKIT – Central Services. “The Dremio Enterprise Catalog provides a secure central platform to manage data and ensures full data sovereignty within the trusted STACKIT Cloud."

3. AI-Ready Data Products

Discovering and preparing data for AI remains a significant bottleneck. Dremio's latest release simplifies this with:

AI-Enabled Semantic Search, making it simple for users to discover existing data assets across an enterprise's entire data estate using plain business language—no SQL or technical expertise needed. This reduces data discovery time from days to seconds, even within complex data environments, significantly accelerating AI and analytics initiatives.

Additional Enhancements

Dremio's April release also introduces UI Engine Creation in Kubernetes, allowing teams to deploy and manage data processing resources intuitively in Kubernetes environments without specialized expertise.

Other key enhancements include:

• Enterprise Access Controls with role-based, fine-grained security and data masking
• Flexible Deployment Options across on-premises, hybrid, and multi-cloud environments
• Lineage Tracking for comprehensive visibility into data origins and transformations
• Unified Semantic Layer providing business context to technical data
• Federated Query Access across lakes, catalogs, and databases without data movement

Benefits for Every Team Member

This release delivers unique benefits tailored to different roles in the organization:

For Data Platform Teams:

• Reduce infrastructure complexity through autonomous optimization
• Eliminate manual tuning and prevent partition issues
• Provide standards-based governance with robust security controls
• Focus on innovation rather than maintenance

For Data Engineering Teams:

• Eliminate pipeline sprawl and data duplication
• Focus on high-value tasks instead of maintenance
• Deliver dramatically reduced query times while maintaining data freshness

For Data Analysts:

• Access needed data instantly without engineering bottlenecks
• Discover relevant datasets in seconds rather than days
• Experience up to 100x faster queries for AI and analytics workloads

Building on Open Standards

As the original co-creators of Apache Polaris (incubating) and Apache Arrow, Dremio is the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow—providing flexibility, preventing lock-in, and enabling community-driven innovation.

Experience Dremio's Newest Release Today

This release represents a significant leap forward in our goal of delivering 10x better outcomes for human data consumers, while simultaneously addressing the unique needs of AI agents with intelligent automation. By eliminating technical complexity and resource waste, we're empowering teams to innovate rather than maintain, while also improving data quality and governance.

Register for our virtual launch event on April 29th to learn more about these groundbreaking features and see them in action. Hear from Dremio’s co-founder on the state of the market,  get insights and demonstrations from product experts on the latest features, and learn from a customer panel on how they are accelerating AI and analytics initiatives across their organizations. Following this virtual event, there will be several deep dive sessions on each key capability with live Q&A with a product manager. Ready to get started? Try Dremio for free today or contact our team to schedule a personalized demo.