Latest Advancements in AI: Enabling Organizations to Quickly Operationalize AI
New Release from Dremio Marks the Next Generation of AI-Enabled Data Lakehouse Platform
Dremio, the Intelligent Data Lakehouse Platform, has announced the availability of its latest release, marking the next generation of Dremio with breakthrough intelligence capabilities that help organizations accelerate AI and analytics projects, and reduce costs. The new release was announced at Iceberg Summit 2025 and features Autonomous Reflections, Iceberg Clustering, AI-enabled Semantic Search, and enhancements to the Enterprise Catalog, eliminating manual performance tuning and simplifying data discovery.
Breaking Down Barriers to AI Adoption
Organizations need a modern data foundation that can support both traditional analytics and emerging AI workloads, as legacy approaches are often too rigid, complex, or costly to scale. Dremio’s newest release addresses these challenges by combining autonomous optimization with open architecture to democratize data access, enabling organizations to build a future-proof data foundation for both analytics and AI initiatives.
The Only Lakehouse with Autonomous Performance
With less time spent tuning performance, optimizing tables, and creating pre-calculated tables and extracts, data engineers can focus on delivering high-quality datasets that power agentic applications. Dremio’s highly innovative technology leverages intelligence to deliver on this promise:
- Autonomous Reflections — An industry-first innovation developed by Dremio — automatically optimizes performance while ensuring queries run on live, up-to-date data with no SQL changes. Autonomous Reflections are intelligently created and updated materializations based on query patterns that act like a persistent, always-fresh cache. The technology eliminates time-consuming manual performance tuning, delivers sub-second queries for all AI and BI workloads, and significantly reduces compute costs.
- Iceberg Clustering — the industry’s first data clustering offering for Iceberg — brings automated data layout optimization to Apache Iceberg lakehouses. With Iceberg clustering, Dremio eliminates the need to partition tables, delivering dramatically faster queries and lower compute costs without any manual effort or tuning.
Rapidly Create AI-Ready Data Sets
Most AI initiatives are bottlenecked by delivering AI-ready datasets, and the biggest factors include unifying data, developing a semantic layer, and then discovering the data needed to support the business initiative. Dremio is currently used by thousands of companies to develop a unified semantic layer, and with its next-generation release, it’s leveraging AI to make discovery across tables and sources easier and faster than ever.
- AI-enabled Semantic Search reduces data discovery time from days to seconds, even within complex data environments. Faster data discovery significantly accelerates AI and analytics initiatives by making it simple for users and AI agents to discover existing data assets across an enterprise’s entire data estate using plain business language. It also removes the need for SQL experience and/or technical expertise.
Open and Flexible Iceberg Architecture
The AI era demands an interoperable architecture that makes it simple to leverage new innovations from both established and new organizations as well as open source projects. Apache Iceberg, the standard open table format, and Apache Polaris (Incubating), the standard Iceberg catalog, provide the open foundation for interoperability. Dremio is the first to provide an enterprise catalog powered by Apache Polaris that can be run in any cloud or on-premises environment.
- Open Architecture with Polaris Catalog expands its open and governed foundation with enhancements to Dremio’s enterprise catalog powered by Apache Polaris, a fully Iceberg-native metastore. Polaris provides fine-grained access controls, robust data lineage, and deep governance capabilities across all workloads. As part of the open Iceberg ecosystem, Polaris enables seamless interoperability across engines and tools, empowering organizations to future-proof their data architecture with flexibility, transparency, and control.
Customer Testimonial
“Empowering our customers with robust data governance on STACKIT is crucial. The Dremio Enterprise Catalog provides a secure central platform to manage data and ensures full data sovereignty within the trusted STACKIT Cloud.” — Benjamin Schweizer, Senior Manager, Domain Product Owner, STACKIT – Central Services.
Conclusion
Dremio’s latest release marks a significant milestone in the development of AI-enabled data lakehouses. By combining autonomous optimization with open architecture, Dremio is empowering organizations to build a future-proof data foundation for both analytics and AI initiatives. With its innovative technology, Dremio is breaking down barriers to AI adoption, enabling organizations to quickly operationalize AI and accelerate their AI and analytics initiatives.
FAQs
Q: What is Dremio’s latest release?
A: Dremio’s latest release marks the next generation of its Intelligent Data Lakehouse Platform, featuring breakthrough intelligence capabilities that help organizations accelerate AI and analytics projects, and reduce costs.
Q: What are the key features of Dremio’s latest release?
A: The key features include Autonomous Reflections, Iceberg Clustering, AI-enabled Semantic Search, and enhancements to the Enterprise Catalog, eliminating manual performance tuning and simplifying data discovery.
Q: How does Dremio’s open architecture benefit organizations?
A: Dremio’s open architecture provides interoperability across engines and tools, empowering organizations to future-proof their data architecture with flexibility, transparency, and control.
Q: What is the benefit of Dremio’s AI-enabled Semantic Search?
A: Dremio’s AI-enabled Semantic Search reduces data discovery time from days to seconds, even within complex data environments, making it simple for users and AI agents to discover existing data assets across an enterprise’s entire data estate using plain business language.
Q: How does Dremio’s technology eliminate manual performance tuning?
A: Dremio’s Autonomous Reflections technology automatically optimizes performance while ensuring queries run on live, up-to-date data with no SQL changes, eliminating time-consuming manual performance tuning.
