The only lakehouse built for agents, managed by agents Open, high-performance data lakehouse platform built to accelerate AI and analytical workloads across all enterprise data Trusted by thousands of companies around the world. Unified Data & Semantics Give agents the business context they need: metrics, definitions, and relationships Federate queries across any data source without moving data Query structured, semi-structured, and unstructured data Iceberg-Native Platform Arrow-based query engine processes Iceberg data natively, no format conversion Open Catalog (Apache Polaris) enables read/write across any Iceberg REST engine Automatic Iceberg table optimization (clustering, compaction, vacuum, variant shredding) Designed for Agents MCP integration connects Claude, ChatGPT, Gemini, and more in minutes Dremio CLI gives coding agents like Claude Code and Codex direct lakehouse access Dremio's built-in AI agent is ready out of the box Autonomous Management Autonomous Reflections observe query patterns and accelerate queries, no tuning required Serverless architecture scales on demand with no upgrades, patches, or downtime End-to-end caching reduces redundant compute and shortens response times End-to-End Access Control AI agents inherit user identity and access controls automatically Fine-grained and role-based access controls enforced from client to source OAuth tokens flow through credential vending to every data source The Agentic Lakehouse Dremio connects AI agents and analytics tools to an intelligent query engine, semantic layer, open catalog, and governed data sources. Fueling AI Innovation Across Industries 1000s of companies across all industries trust Dremio. Amazon’s SCOT Finance Analytics team used Dremio to speed up decisions on billions of records, eliminating 60 hours of work per project. 10x faster query performance (60 seconds → 4–6 seconds) 60 hours eliminated p er project through automated query planning

1,000+ users supported with high-quality supply chain insights Shell modernized global energy analytics with a high-performance lakehouse powered by Dremio. 6–8B records processed in minutes for production forecasting 100+ concurrent forecasting models running at enterprise scale weeks-to-hours data access accelerated by eliminating complex ETL pipelines Maersk built a highly scalable analytics platform on Dremio to support global logistics operations. 100+ nodes deployed across production clusters 1.6M queries handled daily 99.97% uptime supporting mission-critical workloads+ E.ON enabled analysis that was previously impossible with a unified lakehouse platform powered by Dremio. 95% reduction in time-to-insight, with complex queries completing in ~10 min 15 minutes refresh of insights compared to daily refreshes Faster ad-hoc queries now possible on larger datasets RWE empowered analysts with self-service insights and simplified data sharing across the firm with Dremio. 400,000 queries run daily across 1,800 parallel data streams 2,500 sources unified externally for 1,300 users across 84 teams 304 TB in the cloud data lake powering high-volume workloads Frequently Asked Questions What is Dremio? Dremio is an open, high-performance data lakehouse platform built to accelerate AI and analytical workloads across all enterprise data. It combines an Intelligent Query Engine, AI Semantic Layer, Open Catalog powered by Apache Polaris, and a built-in AI agent. Available as a fully managed cloud service or self-managed software. Thousands of organizations choose Dremio because it was built from the ground up for the way data teams and AI agents work today. Dremio gives agents the business context they need to deliver accurate insights, runs natively on Apache Iceberg without format conversion, connects any AI agent or BI tool in minutes, scales and optimizes itself without manual tuning, and enforces access controls end to end so permissions travel with your data. The result is a lakehouse that is fast, open, and ready for agentic workloads. How Do I Try Dremio? Start for free with Dremio Cloud, fully managed, no infrastructure setup. What is a Data Lakehouse? A data lakehouse combines the low cost and flexibility of a data lake with the performance and governance of a data warehouse. Data lives in open formats like Apache Iceberg on your own object storage. Any engine can read and write it without moving or duplicating data. You get high-performance queries, ACID transactions, and fine-grained access control without vendor lock-in. What is Apache Iceberg? Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time. What is Agentic Analytics? Agentic analytics is when AI agents query and act on enterprise data directly. Knowledge workers ask questions in plain language and get trusted answers immediately, without tickets, pipelines, or knowing where the data lives. Every agent draws from a shared, consistently defined source of truth. What used to take weeks becomes instant. Dremio shipped the first MCP interface in the industry for agent connectivity.