Dremio | The Easy and Open Data Lakehouse Platform

Find out why customers choose Dremio

Self–Service Analytics

Unified data access, modern and intuitive U/I, semantic layer, and built for SQL.

Open Data, No Lock-In

Based on community-driven standards, including Apache Arrow, Apache Iceberg and Apache Parquet.

Sub-Second Performance at 1/10th the Cost

Lightning-fast queries, high concurrency, and no expensive data copies to manage.

Why Dremio

Early Release on O’Reilly Book

Apache Iceberg: The Definitive Guide

Data Lakehouse Functionality, Performance and Scalability on the Data Lake. Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse. Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse.

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Trusted by Many Forward-Looking Organizations

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Dremio is recognized as
one of the top 25 fastest growing companies

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Products that improve self-service, performance,

and governance.

Dremio Sonar

A SQL query engine with a built-in semantic layer and intuitive user interface. With Dremio Sonar, organizations can quickly access the data they need, query across data sources, create views, and update Apache Iceberg tables with data manipulation language (DML).

Check Out Dremio Sonar Query Engine

Arctic Demo

6 min

Dremio Arctic (Preview)

A data lakehouse management service that enables data teams to manage data-as-code with Git-like operations, optimizes tables automatically, and provides a data catalog. Dremio Arctic makes it easier for data teams to provide improved governance, data quality, and query performance. With Dremio Arctic, data teams can select their query engine of choice.

Check Out Dremio Arctic

Use Cases for Dremio’s Data Lakehouse

Data Mesh

Provide self-service to the business by unifying data sources, rapidly creating data products for each domain, and ensuring governance across the entire architecture.

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Hadoop Migration to the Cloud

Move from HDFS to cloud object storage, such as Amazon S3, and replace Hive, Impala and other legacy query engines with Dremio to turn your data lake into a high performance data lakehouse.

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Departmental Data Lakehouses

Departments such as marketing, trading, and supply chain require high scale, high performance, and self-service for the business. Dremio’s open data lakehouse is the ideal fit for data driven departments.

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Eliminate Redundant Data Warehouses and Databases

In many architectures, data ingested into a data lake is then copied into a database or data warehouse to provide improved performance as well as security and governance controls. With Dremio’s data lakehouse, customers can remove these systems and deliver governance and high performance, directly on the data lake.

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Build New Analytic Applications

Dremio’s performance allows engineers to treat their data lake + Dremio as a database for analytical applications and application components. Engineers can use Apache Superset for customer dashboards or other development tools to build directly on top of Dremio.

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Data Lakehouse Ecosystem that
supports organizations of any size

Dremio partners with hundreds of leading data storage, BI tool, and ETL vendors to provide a comprehensive set of functionality for organizations of any size.

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Customer success

Dremio helps organizations become more data driven with self-service analytics and more efficient by offloading use cases from expensive and proprietary data warehouses to our open data lakehouse. Dremio exceeds the performance and scale requirements of the most demanding and largest enterprises in the world, including 5 of the Fortune 10.

"Dremio bridges the data warehouse and the data lake, enabling NCR to derive more value between the two data sources."

Ivan Alvarez

IT Vice President, Big Data and Analytics | NCR Corporation

Read NCR’s case study (pdf)

"With Dremio, we are able to reach the source of truth of the data for analytical access, without data replication. This is a crucial aspect for us…We are among the first companies with this dimension and complexity to implement a data mesh architecture. Agile Lab and Dremio have been important for us to reach these results."

Achille Barbieri

Senior Project Manager | Enel

Watch now

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More resources

GNARLY DATA WAVES EPISODE

Overview of Dremio’s Data Lakehouse

On our 1st episode of Gnarly Data Waves, Read Maloney provides an Overview of Getting Started with Dremio's Data Lakehouse and showcase Dremio Use Cases advantages.

Watch now (27 min)