Databricks Delta stores data in Parquet, which is a column-optimized data format that’s popular on Spark and Hadoop clusters. If the source data lake is also storing data in Parquet, Databricks ...

The Delta Lake updates aim at helping data professionals create generative AI capabilities for their enterprise with foundation models from MosaicML and Hugging Face, among others.

The updates in Delta Lake 3.0 include a new universal table format, dubbed UniForm, a Delta Kernel, and liquid clustering to improve data read and write performance.

Databricks today rolled out a new open table format in Delta Lake 3.0 that it says will eliminate the possibility of picking the wrong one. Dubbed Universal Format, or UniForm, the new table format ...

As enterprises continue to double down on data lakehouses, data and AI company Databricks is shifting gears with Delta Lake, the open-source framework serving as the foundation to store data and ...

Databricks today announced Delta Lake, an open-source project designed to bring reliability to data lakes for both batch and streaming data.

Databricks Inc. today released the latest version of Delta Lake, the storage framework that it donated to open source a year ago. Version 3.0 adds support for the Apache Iceberg and Apache Hudi ...

Databricks says part of the reason is lack of transactional support, and they have just open sourced Delta Lake, a solution to address this. Historically, data lakes have been a euphemism for Hadoop.

Big data firm Databricks Inc. wants to clean up companies’ messy data lakes with a new open-source project. Delta Lake, as the project is called, acts similarly to a regular data lake but ...

By making Delta Lake open source, developers will be able to easily build reliable data lakes and turn them into ‘Delta Lakes’,” said Ali Ghodsi, co-founder and CEO at Databricks.