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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. Dremio
    Dremio icon

    Dremio

    Data Processing

    Iceberg-native data lakehouse platform with a query engine, AI semantic layer, open catalog and built-in AI agent for analytics and AI workloads.

    Visit Website

    At a Glance

    Pricing
    Trial available

    30-day free trial of Dremio Cloud with $400 in credits.

    Dremio Cloud: $0.2 usage-based
    Dremio Enterprise: Custom/contact

    Engagement

    Available On

    Linux
    Web
    API
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Data ProcessingBusiness IntelligenceMCP Integration

    Alternatives

    HexLightdashOmni
    Developer
    DremioAustin, TXEst. 2015$410M raised

    Listed Oct 2026

    About Dremio

    Dremio is a data lakehouse platform, now part of SAP according to its site, that combines an Intelligent Query Engine, an AI Semantic Layer, an Open Catalog powered by Apache Polaris and a built-in AI agent. It is offered as a fully managed cloud service or as self-managed software.

    What It Is

    Dremio describes itself as the Agentic Lakehouse: an open, Iceberg-native platform for analytical and AI workloads across enterprise data. Users and AI agents query data in place through federated queries across sources such as relational databases, data warehouses, NoSQL stores, external lakehouses and object storage, without ETL. The data can be structured, semi-structured or unstructured.

    Agent connectivity

    Dremio provides an MCP integration to connect assistants such as Claude, ChatGPT and Gemini. A Dremio CLI gives coding agents such as Claude Code and Codex direct lakehouse access. The semantic layer supplies business context such as metrics, definitions and relationships so agents work from one consistent source of truth. Agents inherit the user's identity and access controls.

    Iceberg and autonomous management

    The Arrow-based engine processes Apache Iceberg data natively. The Open Catalog, built on Apache Polaris, allows read/write access from Iceberg REST engines. Dremio states that table optimization (clustering, compaction, vacuum, variant shredding) runs automatically. It also describes Autonomous Reflections that accelerate queries based on observed patterns, serverless scaling and end-to-end caching.

    Editions and access control

    Products include Dremio Cloud, Dremio Enterprise (Kubernetes, on-premise or cloud) and a free Community Edition for local machines or servers. Fine-grained and role-based access controls are enforced from client to source, with OAuth tokens passed through credential vending.

    Dremio - 1

    Community Discussions

    Be the first to start a conversation about Dremio

    Share your experience with Dremio, ask questions, or help others learn from your insights.

    Pricing

    TRIAL

    Dremio Cloud Free Trial

    30-day free trial of Dremio Cloud with $400 in credits.

    • $400 credit for 30 days
    • Connect your data and run real queries

    Dremio Cloud

    Fully managed, consumption-based pay-as-you-go pricing per Dremio Compute Unit (DCU); annual contracts with committed pricing available.

    $0.2
    usage based
    • Fully managed on AWS (Azure coming soon)
    • AI Agent
    • AI Semantic Layer
    • Intelligent Query Engine
    • Open Catalog
    • Automatic upgrades and scalability
    • Infrastructure costs included in DCU pricing
    • Annual contracts available with committed pricing

    Dremio Enterprise

    Self-hosted, self-managed, consumption-based; free trial via Talk to Sales.

    Custom
    contact sales
    • Runs on Kubernetes (on-prem) or Cloud (AWS, Azure, GCP)
    • AI Agent
    • AI Semantic Layer
    • Intelligent Query Engine
    • Open Catalog
    • Manual upgrades and scalability
    View official pricing

    Capabilities

    Key Features

    • Federated queries across sources without ETL
    • AI Semantic Layer with business metrics and definitions
    • Arrow-based query engine for native Apache Iceberg processing
    • Open Catalog powered by Apache Polaris
    • Automatic Iceberg table optimization
    • Autonomous Reflections for query acceleration
    • MCP integration for AI agents
    • Dremio CLI for coding agents
    • Built-in AI agent
    • Fine-grained and role-based access control
    • Serverless scaling and end-to-end caching

    Integrations

    Claude
    ChatGPT
    Gemini
    Claude Code
    Codex
    Apache Iceberg
    Apache Polaris
    Apache Arrow
    Fivetran
    Confluent
    Spark
    Airbyte
    Kafka
    Qlik Talend
    Snowflake
    Athena
    Databricks
    Trino
    Fabric
    API Available
    View Docs

    Ratings & Reviews

    No ratings yet

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    Developer

    Dremio Team

    Dremio builds the Agentic Lakehouse, an Iceberg-native data platform for AI and analytics. The company states it is a lead contributor to Apache Iceberg and co-creator of Apache Arrow and Apache Polaris. Its site says Dremio is now part of SAP.

    Founded 2015
    Austin, TX
    $410M raised
    355 employees

    Used by

    Shell
    TD Bank
    Michelin
    Maersk
    +11 more
    Read more about Dremio Team
    WebsiteGitHubLinkedIn
    1 tool in directory

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