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Announcing GA of Predictive I/O for Updates: Faster DML Queries, Right Out of the Box

Announcing GA of Predictive I/O for Updates, which harnesses Photon and AI atop Deletion Vectors in order to significantly speed up MERGE, UPDATE and DELETE operations. We've prevented over 15 trillion unnecessary row writes, and we’re just getting started.

Announcing Delta Lake 3.0 with New Universal Format and Liquid Clustering

We are excited to announce Delta Lake 3.0, the next major release of the Linux Foundation open source Delta Lake Project, available in...

How Databricks improved query performance by up to 2.2x by automatically optimizing file sizes

Optimizing tables has long been a necessary but complicated task for data engineers. One particularly thorny area has been getting to the optimal...

Announcing the Public Preview of Predictive I/O for Updates

Previously, we’ve shown you how a new technology called Predictive I/O could improve selective reads by up to 35x for CDW customers without...

Introducing Ingestion Time Clustering with Databricks SQL and Databricks Runtime 11.2

Databricks customers are processing over an exabyte of data every day on the Databricks Lakehouse platform using Delta Lake , a significant amount...

Faster MERGE Performance With Low-Shuffle MERGE and Photon

At Databricks, one of our key goals is to provide our customers with an industry-best price/performance experience out of the box. From ETL...

Introducing Brickchain: Planet-scale Unified Analytics

March 31, 2019 by Bart Samwel and Reynold Xin in
Today we are excited to announce Brickchain , the next generation technology for zettabyte-scale analytics, by harnessing all the compute power on the...