The Dremio Blog

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises leverage data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. What Is a Data Lake? A data lake […]

Today, we’re excited to announce our Dremio June 2021 release!

We’re excited to announce that Tableau 2021.2 includes a new native connector to Dremio! Read this blog to learn more.

Introducing the Dart Initiative: Accelerating the obsolescence of cloud data warehouses!

We're excited to be a launch partner on the open source Delta Sharing initiative!

Alan Gibson recently joined Dremio as the Chief Revenue Officer. Read this blog to learn why he's joining Dremio.

Read this blog to see some examples of organizations who achieved success with a modern, open data architecture.

Long-time veterans in the data space Billy Bosworth (Dremio CEO) and Ali Ghodsi (Databricks CEO) share their valuable insights on the future of data management.

The openness of the cloud data lake/lakehouse is a key advantage over the data warehouse, and vendors like Snowflake are feeling the pressure.

Today we are excited to announce Dremio’s March 2021 release. This release adds several features such as caching query plans and improved runtime filtering that enhance the platform’s performance and security.

Today we announced our first independent board director, Robin Matlock, and within the past few weeks we also hired our new CMO, Anita Pandey. Read more on this blog from our CEO, Billy Bosworth.

This month’s release delivers new powerful features such as support for Delta Lake open source table format, improved performance when using complex data types and more.

Announcing the General Availability of Apache Arrow Flight Client and Server Support in Dremio.

Learn how to leverage the integration of Superset and Dremio to visualize your data lake.

Dremio cloud data lake engine delivers lightning-fast queries. It provides a 100x improvement in BI query speed and a 4x improvement in ad hoc query speed running against S3 object storage and metadata solutions such as AWS Glue or the Hive metastore.