Deploy Dremio on Azure

Dremio’s Data Lake Engine delivers lightning fast query speed and a self-service semantic layer operating directly against ADLS.

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Lightning-fast queries directly on ADLS

Apache Arrow, Data Reflections, and other Dremio technologies work together to speed up queries by up to 1,000x.

  1. Arrow Flight

    Parallel zero-copy RPC between client & Dremio

  2. Columnar Execution

    Elastic Apache Arrow-based vectorized execution

  3. Data Reflections

    Patent-pending indexing & aggregation technology

  4. Columnar Cloud Cache (C3)

    Real-time, distributed NVMe caching & prefetching

Self-service semantic layer

Analysts and data scientists can discover, explore and curate data using Dremio’s intuitive UI, while IT maintains governance and security.

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Optional live joins between ADLS and other Azure services

While ADLS is the center of gravity for your Azure data architecture, you may have important data in other places too. Dremio makes it easy to optionally join ADLS with Blob Storage, Azure SQL Database and Data Warehouse, HDInsight, and more.

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Connect Power BI directly to ADLS

With Dremio, Power BI analysts can search for new datasets stored on ADLS, immediately access that data in Power BI with no preparation by IT, create visualizations, and iteratively refine reports in real-time. And analysts can create new reports that combine data between ADLS and other databases such as Azure SQL Data Warehouse.

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Flexible and open

Dremio accesses your existing data in ADLS. You don't have to send your data to Dremio, or have it stored in proprietary formats that lock you in.

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Integrates natively with Azure services

Dremio integrates with services including Power BI, Databricks, Azure AD for single sign-on, ARM and AKS.

Deploy your data lake engine on Azure with a few clicks.

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