Dremio

Open lakehouse platform that connects AI agents and analytics tools to enterprise data with a semantic layer.

Verified API available Works with Claude AI · n8n ~34k monthly visits
Quick facts
What is it Open lakehouse platform that connects AI agents and analytics tools to enterprise data with a semantic layer.
Pricing Paid
Free tier Yes
Platform Web Application
API Yes
Works with Claude AI, n8n
Best for running fast analytics queries on large datasets, connecting AI agents to governed enterprise data
Domain registered 2015

Data updated Aug. 1, 2026

What does Dremio do?

Dremio is an open data lakehouse platform designed to handle both AI and analytical workloads. It sits on top of your existing data sources — cloud storage, databases, data lakes — and gives you a single place to query, govern, and share data. The platform is built around Apache Iceberg, an open table format, so it works with standard tools and avoids vendor lock-in. Dremio calls itself 'the agentic lakehouse' because it's built to connect AI agents directly to enterprise data, giving them the business context they need through a unified semantic layer.

What makes Dremio stand out is its combination of a semantic layer, an intelligent query engine, and autonomous management. The semantic layer lets you define metrics, definitions, and relationships so that both humans and AI agents get consistent answers. The query engine can federate queries across multiple sources without moving data — it handles structured, semi-structured, and unstructured data. Dremio also manages itself: it scales and optimizes storage and compute automatically, and it enforces end-to-end access control so permissions stay with the data wherever it goes.

Dremio is most useful for data teams at mid-size to large enterprises that need to unify data from many sources for analytics and AI. Companies like Amazon, Shell, and Maersk use it to speed up queries, reduce ETL work, and give analysts self-service access. If you're building AI agents that need to pull from corporate data, or if you're tired of moving data around just to run reports, Dremio is worth a look.

#ai agents#analytics#apache-iceberg#data governance#data lakehouse#enterprise data#query engine#semantic layer

Key features

What makes it stand out
01
Unified semantic layer gives agents business context like metrics and definitions
02
Iceberg-native open lakehouse for performance and interoperability
03
Connect any AI agent to enterprise data without moving it
04
Self-scaling and self-optimizing lakehouse management
05
End-to-end access control with permissions that travel with data

Who is Dremio for?

Who benefits most from this tool
running fast analytics queries on large datasets
connecting AI agents to governed enterprise data
building an open data lakehouse for BI and AI workloads

Pricing

Free tier available — start without a credit card

Dremio Cloud

Custom
  • 0.2 price per dcu
  • Fully managed with automatic scaling and optimization
  • Query your data in minutes, no manual configuration required
  • Automatic feature releases, no upgrades or downtime

Dremio Enterprise

Custom
  • Self-manage security, compliance, and data policies
  • Flexible deployment on cloud, Kubernetes, on-prem or Dremio-as-a-Service (DaaS)
  • Integrates with your existing infrastructure and tools

Trust & presence

Domain Domain registered 2015

Gallery

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