The Dremio Blog

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.

This blog post explains the Dremio AWS Edition provisioning process, deployment architecture, components and services.

We are excited to announce that after working closely with Tableau to further simplify the distribution of the new connector, Dremio is now a Tableau Connector Gallery launch partner!

Dremio AWS Edition allows you to kick your data lake analytics initiatives into high gear, dramatically improve the productivity of your data engineering teams, and save money while you’re at it.

Updating S3 data can be challenging, fortunately there is a solution. In this article we explore how to update your S3 data while minimizing data lake downtime.

In case you missed AWS re:Invent 2019, here is the recap of everything that took place at this great event.

For the third consecutive year, Dremio joined Tableau Conference. Here is the recap of everything that took place at TC19.

In case you missed Microsoft Ignite 2019, here is the recap of everything that took place at this great event.

Described by Microsoft as a “no-compromise data lake”, ADLS Gen 2 extends the capabilities of Azure Blob Storage and is optimized for large scale analytics workloads.