Dremio deepens Apache Iceberg leadership with V3 Support, new community appointments, and Polaris momentum. GlobeNewswire | Dremio Corporation Today at 9:05am PDT SAN FRANCISCO, Calif., April 06, 2026 (GLOBE NEWSWIRE) - Dremio, the Agentic Lakehouse company, today highlighted its leadership across the Apache Iceberg ecosystem, including V3 support now available in Dremio Cloud, the election of Dremio engineer JB Onofre to the Apache Software Foundation board, and continued momentum behind Apache Polaris. A longstanding advocate for open-source collaboration and the elimination of vendor lock-in, Dremio has made foundational contributions to projects including Apache Arrow (co-creator and core contributor), Apache Iceberg (contributor and leading educator), and Apache Polaris (co-creator). Reinforcing this commitment, JB Onofre, who shepherded Polaris through incubation, has been elected to the Apache Software Foundation board. Iceberg V3 is designed to support more diverse and complex data types, offer greater control over schema evolution, and deliver performance enhancements for large-scale, high-concurrency environments. Dremio's V3 integration advances handling of semi-structured data, row-level changes, and schema evolution, with full support in Dremio Cloud, including the VARIANT data type for JSON, deletion vectors for faster CDC (change data capture), and improved schema evolution. "The Iceberg lakehouse has become the default architecture for AI and analytics," said Rahim Bhojani, CTO of Dremio. "Most platforms added Iceberg as a feature, but Dremio was built on it from the ground up. Capabilities like Autonomous Reflections, Iceberg Clustering, and now V3 compound on each other, delivering an Iceberg platform that's both the fastest and the easiest to manage." Dremio Continues to Set the Standard for Apache Iceberg Apache Iceberg V3 Support: Dremio delivers full read and write support for the latest Iceberg specification. Deletion vectors accelerate row-level operations for CDC and streaming workloads. The VARIANT type eliminates the schema-on-write bottleneck for semi-structured data. Row-level lineage provides built-in creation and update tracking for regulated industries with no additional tooling required. Arrow-Based SQL Engine for Iceberg: Dremio's query engine was built natively on Apache Arrow, the open columnar standard Dremio co-created, making it uniquely suited for Iceberg workloads. It processes Iceberg and Parquet data in vectorized batches without conversion to a proprietary format, delivering fast, scalable analytics with no lock-in. Autonomous Reflections: Dremio eliminates the management overhead of running an Iceberg lakehouse. Autonomous Reflections observe query patterns and automatically creates, refreshes, and retires materializations, accelerating queries from seconds to sub-second with no code changes or manual tuning. Reflections' incremental refresh keeps data fresh at low resource cost. Iceberg Clustering: uses Z-order to co-locate data across multiple columns simultaneously. ith two-level pruning that skips data at both the manifest and row-group level, it minimizes I/O by running continuously on petabyte-scale tables without full-table rewrites. Automatic table maintenance: compaction, snapshot expiration, and orphan file cleanup run on policy-based schedules with no manual intervention, keeping tables performant and storage costs in check. Enables engineers to focus on building data products, not maintaining tables. Open Catalog (Powered by Apache Polaris): Dremio co-founded Apache Polaris, the open Iceberg catalog standard now graduated to a top-level Apache project. Built on Polaris, Dremio's Open Catalog provides an Iceberg catalog that supports full read and write from any REST-compatible engine, including Spark, Flink, Trino, and DuckDB, all sharing the same Iceberg tables. Governance, including RBAC, row-level filters, column masking, and just-in-time credential vending, is enforced consistently at the catalog layer regardless of which engine is querying. Every Dremio-managed table is accessible to any Iceberg-compatible engine. Ingestion and Transformation: Dremio supports the full range of DML operations on Iceberg tables using standard SQL. Continuous ingestion via CREATE PIPE, batch loads via COPY INTO, and dbt Core integration make Dremio a complete platform for building and maintaining Iceberg-native data pipelines. About Dremio Dremio is the Agentic Lakehouse: the only Iceberg-native data platform built for agents and managed by agents. Every knowledge worker and AI agent gets instant, governed access to enterprise data through any LLM or tool of their choice. Federated queries reach any source without ETL pipelines. An AI Semantic layer adds business context so every agent draws from the same source of truth. The lakehouse manages itself, running clustering, optimization, and compaction autonomously. The result: trusted insights that drive better business outcomes, without the infrastructure complexity or overhead. A lead contributor to Apache Iceberg and co-creator of Apache Arrow and Apache Polaris. Trusted by Shell, TD Bank, Michelin, and thousands of organizations worldwide. Media Contact Chris McCoin or Richard Smith McCoin & Smith Communications Inc. [email protected] | [email protected] Elise Woodard Dremio Corporation 9494632203 [email protected] This is a paid placement. For further inquiries, please contact GlobeNewswire directly.

What to expect at Dremio's Subsurface World Tour 2025. Dremio's Subsurface World Tour 2025 spotlights the latest innovations in the open data lakehouse ecosystem with real-world use cases that bring technical depth and practical insight. What is Dremio's Subsurface World Tour? This year's event shines a spotlight on the latest innovations in the open data lakehouse ecosystem, with real-world use cases that bring technical depth and practical insights together. Subsurface is the global stage for data pioneers, blending cutting-edge research with hybrid lakehouse strategies that are shaping the future of data. This year, the vendor is bringing even more Dremio-focused sessions - offering a closer look at its architecture, performance gains, and role in the modern data stack. Why you should attend. Over 18,000 data engineers, architects, and scientists from around the world have joined us at past events. Their speaker lineup has included experts from industry leaders like Apple, Netflix, Lyft, LinkedIn, TransUnion, Uber, Marsh McLennan, Adobe, AWS, Microsoft, Shell, and Wayfair - as well as emerging players like SpiceAI and Forcemetrics. They'll also feature the original creators behind Apache Arrow, Apache Iceberg, Apache Parquet, Project Nessie, Pandas, and more. Best of all, it's free - and virtual, or coming to a city near you. Don't miss your chance to connect with peers, learn from industry leaders, and be part of the future of data. Featured speakers. * Dremio CEO Sendur Sellakumar * Dremio Founder Tomer Shiran About Dremio Subsurface World Tour. You'll learn from peers who are implementing or managing lakehouse architectures to meet their organizations' data analytics needs. You'll learn from practitioners who are solving common data management and analytics challenges, including data optimization, self-service analytics, and data governance. You'll also gain firsthand insights on important analytics topics including Apache Iceberg and other Open Table Formats, Data Ops, Analytics, Cost Optimization, Data Mesh and Data Fabric architectures, the role of Gen AI in analytics and much more! * What: Dremio Subsurface World Tour 2025 * When: December 10 (Virtual), in-person sessions globally * Where: See registration page to attend free Share this. Tim king. Tim is solutions review's executive editor and leads coverage on data management and analytics. A 2017 and 2018 most influential business journalist and 2021 "who's who" in data management, tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.

Dremio unveils The Agentic Lakehouse: built for agents, managed by agents. Next-generation Dremio Cloud reimagines the Lakehouse for the Agentic Era Subsurface Conference, NEW YORK, NY, Nov. 13, 2025 (GLOBE NEWSWIRE) - Dremio, the agentic lakehouse company, today announced Dremio Cloud, the industry's first agentic lakehouse that ushers in a new generation of data lakehouse platforms to empower artificial intelligence. Unlike other offerings, Dremio Cloud transforms legacy-based data infrastructures into a self-managing platform that continuously learns, adapts, and optimizes without human intervention. This enables data engineers to be 10x more productive and focus on innovation by eliminating mundane and time-consuming work. As enterprises race to deploy AI agents, they face a dual challenge: their data infrastructure processes and methodologies cannot support AI agents, and managing that data platform requires constant manual intervention, training, and education. Dremio Cloud solves both problems by positioning agents as a first-class operator-not a copilot or sidecar-creating an autonomous platform that seamlessly serves AI agents, applications, and users. "At BARC, we see high demand for tool consolidation, automation, and agentic data management. Dremio's Agentic Lakehouse addresses this demand with an array of capabilities that minimize toil and boost productivity for data teams," said Kevin Petrie, vice president of research at BARC. Dremio's agentic platform delivers everything AI agents need to succeed, including: Unified and Governed Data Access: Dremio's Open Catalog, built on the open-source Apache Polaris project-which Dremio co-created-makes it simple to catalog and govern all data across lakehouses and databases. Data is accessible through Dremio's Intelligent Query Engine, which features Zero-ETL federation and both structured and unstructured data processing. AI Semantic Layer: Dremio's deeply integrated semantic layer acts as a living encyclopedia for the business. It provides the crucial context AI needs to avoid hallucinations and deliver accurate insights. AI Agent: With its own AI Agent, Dremio Cloud makes it simple for business users and data analysts to ask questions and get high-quality answers and visualizations in seconds. Agent Choice Through MCP: Dremio Cloud natively supports the open Model Context Protocol (MCP), allowing any MCP-enabled AI agent from providers like Anthropic, OpenAI, and Google to connect to Dremio. Dremio Cloud introduces autonomous capabilities that significantly enhance the productivity of data engineers with: Active Metadata: Dremio's active metadata system continuously analyzes query patterns, data relationships, and usage trends to drive autonomous decision-making. This living intelligence layer enables the platform to predict needs, prevent performance issues, and proactively optimize data layouts-capabilities that lay the groundwork for future agent-driven automation across all platform operations. Enhanced Semantics: Dremio automatically creates wikis and labels for tables, views, and data products, with a human-in-the-loop to govern quality. Materializations and Query Rewrite: The platform learns from every query, automatically creates performance materializations, and rewrites SQL in real time to deliver consistent sub-second performance. Clustering: Dremio intelligently reorganizes data layouts through automated clustering and continuously analyzes access patterns to physically restructure tables for optimal query performance. "Our new agentic lakehouse represents a fundamental shift in how data platforms operate. By embedding intelligent, autonomous capabilities into a managed platform, Dremio Cloud eliminates the manual overhead that plagues data teams while providing the performance and reliability that AI agents demand," said Sendur Sellakumar, CEO at Dremio. "As our agentic autonomous capabilities evolve, they will increasingly operate as coordinated agents themselves, which creates a truly self-managing data ecosystem." Availability: Dremio Cloud, The Agentic Lakehouse, is available immediately. Businesses can sign up for a $400 free trial at dremio.com/get-started and experience the future of autonomous data on a fully managed data platform. About Dremio: Dremio is the pioneer of The Agentic Lakehouse-the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed-Dremio delivers this agility by equipping AI agents with federated data access, unstructured data processing, and rich business context through its AI Semantic Layer. In the agentic era, data engineering teams can't manually tune performance for thousands of users and agents asking unpredictable questions every second. Dremio's Agentic Lakehouse autonomously manages itself, removing undifferentiated management tasks, allowing engineers to focus on initiatives that drive business results. Dremio's agentic lakehouse automatically optimizes queries, reorganizes data, and maintains performance at any scale. Dremio is trusted by thousands of global enterprises including Shell, TD Bank, and Michelin, and built on open standards. Dremio co-created Apache Polaris and Apache Arrow, and it's the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow. Learn more atwww.dremio.com. Dremio Corporation