Next-Gen Analytics

The Agentic Lakehouse Platform

The data platform that delivers the fastest path to trusted AI through unified data, required context, and end-to-end governance all at the lowest cost.

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Meet Dremio's AI Agent

Dremio’s integrated AI Agent allows users to ask questions in natural-language and easily get answers. The AI Agent dynamically generates SQL, validates results, and delivers insights alongside visualizations.

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The Foundation of the Agentic Lakehouse

Agentic Interface

Fastest Path to Agentic Analytics

  • Enables natural-language analytics using Dremio’s AI agent and external agents connected via MCP (Model Context Protocol)
  • By connecting to Dremio, both BI tools and agents can generate, validate, and execute SQL
  • Leverages governed metadata to understand what data exists and what it means
Learn More MCP Server

AI Semantic Layer

Context that Makes Data Understandable

  • Provides the business and technical context agents need to interpret data correctly
  • Surfaces metadata and auto-generates documentation and labels
  • Enables semantic search so agents can easily find, understand, and use trusted datasets
Learn More Check Our Blog

Intelligent Query Engine

High-Performance Analytics on All Your Data

  • Delivers high-performance SQL analytics built on Apache Arrow and optimized for workloads
  • Supports federated queries across object storage, relational databases, and NoSQL systems
  • Enables unified analytics across all data sources without ETL
Learn More Autonomous Reflections

Open Catalog (Apache Polaris)

Unified Metadata and Governance

  • Manages metadata for Iceberg tables in the lakehouse, including schemas, table definitions, and query metadata
  • Enables unified governance and fine-grained access control across data assets
Learn More Apache Polaris

Autonomous Management

Performance without Manual Tuning

  • Optimizes performance without manual tuning by analyzing workloads and creating Reflections when beneficial
  • Rewrites queries to use Reflections and maintains table health through background processes
  • Handles compaction, metadata cleanup, and other automated maintenance tasks
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PRODUCTS

Dremio Products

Choose the deployment that best fits your operational model.

CLOUD

Dremio Cloud
  • Zero Infrastructure Management: Fully managed platform with automatic updates, scaling, and optimization
  • Instant Setup: Start querying data in minutes—no deployment, configuration, or maintenance required
  • Automatic Feature Releases: Get the latest capabilities and improvements without manual upgrades or downtime

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ENTERPRISE

Dremio Enterprise
  • Complete Infrastructure Control: Self-manage security, compliance, and data policies to meet regulatory requirements
  • Flexible Deployment: Choose self-managed (Cloud, Kubernetes, On-premises ) or Dremio-as-a-Service (DaaS) for hosted infrastructure with full control
  • Custom Integration: Integrate with your existing enterprise infrastructure, authentication, and monitoring tools

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Dremio Community Edition

Free Query Engine. Deploy self-managed on-premises or in your preferred cloud environment.

Try Dremio With Docker

Run this command in your terminal with Docker.
Dremio will be accessible in your web browser at localhost:9047

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Take the next step with Dremio

Try Dremio Cloud free for 30 days

Experiment Dremio Cloud

  • Deploy agentic analytics on your data
  • Apache Iceberg, without the overhead
  • No pipelines required

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Join Our Workshops

Get hands-on with Dremio Cloud.

  • Guided setup and core workflows
  • Agentic analytics in action
  • Iceberg best practices

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See Dremio in Action

Explore this interactive demo and see how Dremio’s Agentic Lakehouse powers AI and BI workloads.

CASE STUDIES

Fueling AI innovation across industries

1000s of companies across all industries trust Dremio.

Maersk built their next generation data platform for unified analytics on Dremio making it the go-to place for end-user SQL queries in only six months

  • 99.97% uptime, minimizing downtime to just 3 hours in 10 months
  • Scaled from handling zero to 1.6 million queries a day
  • Reduced costs by avoiding proprietary data access fees and optimizing resource usage
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Vanguard modernized its AWS analytics platform with a unified semantic layer powered by Dremio.

  • $8T+ in assets supported with unified semantic layer on AWS S3
  • Weeks -> Hours dramatically accelerated time-to-insight for analysts, replacing week-long processes with days
  • Millisecond performance for fraud and risk workloads with real-time analysis
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NetApp replaced legacy Hadoop infrastructure with a modern, cloud-native lakehouse powered by Dremio.

  • 95% reduction in query execution time

  • 60%+ reduction in compute costs
  • Decoupled compute and storage using Kubernetes
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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
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World Bank Group transformed capital markets operations with an agentic lakehouse built on Dremio.

  • 189 countries supported by a unified semantic layer enabling trusted analytics and AI
  • 95%+ accuracy from AI-driven trade data extraction at global scale
  • 6–8 Hours → 15 Minutes trade processing accelerated with AI-driven automation on governed data
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TRUSTED

Enterprise-Grade Security and Compliance

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Built for secure, governed data

Dremio is built to securely protect your data:

  • Integrates seamlessly with enterprise identity providers 
  • Enforces fine-grained access controls - row/ column-level
  • Encrypts data in transit using TLS 1.2+
  • Encrypts data at rest using AES-256
  • Supports enterprise security, governance, and compliance requirements 

Dremio Compliance Certificate includes:

LEADERS IN OPEN SOURCE

The Lakehouse OSS Standards

Driving innovation in the open-source community with contributions to Arrow, Iceberg, and Polaris.

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Co-created by Dremio, Apache Arrow is the in-memory and transport format that powers high-performance lakehouse analytics.

As a key contributor, Dremio helps drive Apache Iceberg, the open table format for reliable and scalable lakehouse data.

Apache Polaris, co-created by Dremio, is an open metadata catalog designed for modern lakehouse architectures.

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Related content

Architecture & Integration
Open Catalog & Standards
Security & Governance

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