The Dremio Blog

Why does adopting a data lakehouse table format like Apache Iceberg matter and how it solves issues like data drift, costs, and more.

This blog looks at the evolution of the Apache Arrow project over the years from the time it was co-created by Dremio.

Dremio continues its open source impact with the contribution of the Arrow Flight SQL JDBC driver to the Apache Arrow community.

Today we’re excited to announce the release of the JDBC driver for Apache Arrow Flight SQL, an open source driver that specializes in moving large amounts of data very quickly. This driver benefits Dremio users in terms of performance, efficiency, and time to insight. It allows you to use any JDBC client and connect to […]

Learn how to take advantage of Dremio Arctic’s capability to help monitor data quality, recover from mistakes, and audit data.

SSO functionality for Dremio Cloud and Power BI provides granular access control and visibility for data teams.

Tableau’s native connector for Dremio brings the data lakehouse right to the data consumers, enabling high performance Business Intelligence (BI). With the connector, Tableau users have enjoyed increased data access and lightning-fast BI (sub-second queries) directly on data located across data lakes, data warehouses, and databases. Now, with the release of Tableau 2022.3, Tableau and […]

The Apache Iceberg project achieves a milestone with its 1.0 release — with its robust features and stable APIs, it’s never been a better time to adopt Iceberg as your data lakehouse table format.

Dremio and dbt Labs provide a modern data architecture that is built around three core concepts: Built for SQL, Open, and Data-as-Code.

This blog helps you learn about querying MAP data in Dremio Cloud and Dremio Software v23.0.

The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.

A hands-on tutorial for building a Tableau dashboard directly on the data lake using Dremio.

Cloud data warehouses have gained a reputation for being one of the largest expenses for any data-driven company. Read this blog to learn how data lakehouses eliminate major costs associated with data warehouses, while removing vendor lock-in.

Monolithic data architectures are not designed to scale which creates a lot of issues for growing enterprises. Learn why data mesh is the solution.

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