The Dremio Blog

Announcing Dremio 3.0

Oct 30, 2018

Dremio 3.0 is a major release that includes many new features, performance improvements and security enhancements - see the highlights.

Adding a User Defined Function to Gandiva

Sep 19, 2018

Learn how to add User Defined Functions to Gandiva.

Gandiva Initiative Update: Improving SQL Projection Performance by 70x

Aug 22, 2018

Exploring performance improvements for SQL processing in Dremio based on Gandiva Initiative for Apache Arrow.

Introducing the Gandiva Initiative for Apache Arrow

Jun 21, 2018

In-depth technical description of Dremio's Gandiva Initiative for Apache Arrow.

The Origin & History of Apache Arrow

Jun 20, 2018

A background and overview of the Apache Arrow project from the PMC Chair, Jacques Nadeau.

Introducing the Dremio Data Science Index

Jun 5, 2018

Read more about the methodology behind our Data Science Index – which tracks the popularity of data science tools.

Announcing Dremio 2.0 – Starflake Reflections, REST APIs, and more!

Apr 25, 2018

Dremio 2.0 is a major release that includes many new features, performance improvements, and stability enhancements - see the highlights.

Introduction to Starflake Data Reflections

Apr 24, 2018

Behind the scenes, invisible to end users, a relational cache comprising data materializations, also known as Data Reflections™, enables Dremio to accelerate queries from users and tools.

The Winter Olympics Story: How I Did It

Mar 27, 2018

Trump Twitter Sentiment Analysis: How I Did It

Mar 26, 2018

Java Vector Enhancements for Apache Arrow 0.8.0

Jan 15, 2018

Technical performance review of enhancements to Java vectors in Apache Arrow 0.8.0

Looking Back At How We Exited Dremio From Stealth

Aug 9, 2017

Our CEO reflects on two years of stealth and exiting Dremio from stealth.

Recognizing A New Tier

Jul 19, 2017

Dremio's co-founder describes his vision for starting the company and the future of data analytics.

Introducing Apache Arrow: Columnar In-Memory Analytics

Feb 17, 2016

Apache Arrow establishes a de-facto standard for columnar in-memory analytics which will redefine the performance and interoperability of most Big Data technologies.

Tuning Parquet file performance

Dec 13, 2015

A brief discussion about how changing the size of a Parquet file’s ‘row group’ to match a file system’s block size can effect the efficiency of read and write performance.