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Read the Blog SAP Intends to Acquire Dremio
The Agentic Lakehouse
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
Case Studies
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
