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The SQL Lakehouse Platform

Power high-performing BI dashboards and interactive analytics directly on data lake storage with Dremio.

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Reduce Complexity and Accelerate Time to Results

Enable high-performance BI directly on data lake storage and eliminate the need for data warehouses.

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TDWI Checklist Report

Discover the foundation for a high performance, scalable cloud data architecture to power business intelligence, ad hoc reporting, dashboards and analytics.

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Reimagine the SQL Lakehouse Experience

The only SQL Lakehouse platform designed to empower self-service, interactive analytics on the data lake.

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Build the Foundation for an Open Data Architecture

Use your favorite tools, easily integrate with your landscape and adopt future innovations.

  • Closed
  • Open
  • Can’t use multiple engines on the same data or use cases
  • Limited to functionality of one engine
  • Can't adopt new technologies in the future because of vendor lock-in
  • Flexibility to use multiple best-of-breed engines on the same data and use cases
  • Easily adopt additional engines today
  • Easily leverage new engines that may emerge in future — simply point them at your data!

Get Started with Dremio Cloud Today

Infinite scale, frictionless experience available instantly. No software to install or configure. Pay for what you use.

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Open Source Innovation

We’ve created some of the leading open source projects in data management. They’re used by the largest tech companies, in other open source projects and by every data scientist around the world.

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Ready to Get Started? Here Are Some Resources to Help


Data as Its Own Tier

Learn how Data has emerged as its own tier and the flexibility and advantages of this revolutionary open architecture to your organization.

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White Paper

Five Best Practices for Deploying AWS Data Lakes

Take a look at this comprehensive list of best practices to help data architects realize an optimal data architecture

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Apache Iceberg – An Architectural Look Under the Covers

Watch this webinar to understand the architectural details of why the Hive table format falls short and why Iceberg format resolves them

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Ready for an amazing BI experience?

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