The Dremio Blog

I recently had the pleasure to participate in a DM Radio panel discussing the case for immediate analytics. In this blog I’ll share some of the main points we discussed. It was a wide ranging discussion, so definitely check out the podcast itself.

This blog post explains the architectural differences between Dremio and Presto and provides details on why Dremio achieves a high level of performance and infrastructure cost savings at any scale.

This blog post describes the methodology used to execute performance and efficiency benchmarks of Dremio versus Presto distributions, shares the tabular results of the benchmark tests, and provides guidance and tools to conduct your own benchmark.

This month’s release delivers multiple performance-oriented features such as Arrow caching, the ability to scale out coordinator nodes, runtime filtering, AWS Edition improvements, and more!

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!

Last Thursday Dremio hosted Subsurface Summer 2020, the industry’s first and only cloud data lake conference — and we did it all LIVE (and virtually, of course)!

The Apache Arrow team today announced the 1.0.0 release. This covers over 3 months of development work and includes 810 resolved issues from 100 distinct contributors.

Dremio 4.6 delivers enhanced BI tool integrations, hourly paid enterprise edition features and much more!

Learn about the modern cloud technology stack that data architects use in today's digital landscape.

As cloud data lake pioneers with our data lake engine, and as the original creators of Apache Arrow, we are excited to introduce and host Subsurface, the industry’s first cloud data lake conference.

Dremio 4.5 delivers faster metadata performance, simplified query troubleshooting and much more!

Dremio's VP of Customer Success - Ohad Almog - shares the reason why he joined Dremio.

Dremio's VP of People - Colleen Blake - shares the reason why she joined Dremio.

I joined Dremio to become part of an amazing team that will empower enterprises to harness data for faster insights in a cost-effective and compliant way.

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.