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Dremio is the Agentic Lakehouse: an Iceberg-native data lakehouse platform built for AI and analytical workloads.

Last updated September 15, 2026

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Overview

Dremio describes itself as the Agentic Lakehouse, an open, high-performance data lakehouse platform built to accelerate AI and analytical workloads across all enterprise data. It is Iceberg-native, uses an Arrow-based query engine, and includes an AI Semantic Layer, autonomous management, and end-to-end access control. Dremio states it is a lead contributor to Apache Iceberg and co-creator of Apache Arrow and Apache Polaris, and that it is trusted by Shell, TD Bank, Michelin, and thousands of organizations worldwide.

History

Dremio presents itself as the Agentic Lakehouse, an Iceberg-native data platform built for agents and managed by agents. The company states it is a lead contributor to Apache Iceberg and co-creator of Apache Arrow and Apache Polaris. Its leadership team includes CEO Sendur Sellakumar and founder Tomer Shiran, who is described as the co-founder behind the Agentic Lakehouse vision and a leader in the Apache Iceberg and Apache Arrow communities.

Products and positioning

The only lakehouse built for agents, managed by agents; an open, high-performance data lakehouse platform built to accelerate AI and analytical workloads across all enterprise data.

  • Agentic Lakehouse

    The only lakehouse built for agents, managed by agents; an open, high-performance data lakehouse platform built to accelerate AI and analytical workloads across all enterprise data.

  • Iceberg-Native Platform

    Open lakehouse for performance and interoperability; Arrow-based query engine processes Iceberg data natively without format conversion; Open Catalog (Apache Polaris) enables read/write across any Iceberg REST engine; automatic Iceberg table optimization.

  • AI Semantic Layer

    Gives agents the business context they need: metrics, definitions, and relationships; federates queries across any data source without moving data; query structured, semi-structured, and unstructured data.

  • Autonomous Management

    Autonomous Reflections observe query patterns and accelerate queries without tuning; serverless architecture scales on demand with no upgrades, patches, or downtime; end-to-end caching reduces redundant compute.

  • End-to-End Access Control

    Permissions travel with data end to end; set permissions at any level—organization, project, source, folder, or table—and automatically enforce them down to rows and columns.

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