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 ...

Databricks introduced Delta back in 2019 as a way to gain transactional integrity with the Parquet data table format for Spark cloud workloads. Over time, Delta evolved to become its own table format ...

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 is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, MLflow, and Unity Catalog.

Databricks has launched Delta Live Tables (DLT), its ETL framework to automate data pipelines, in general availability for enterprises.

Databricks, maker of the Apache Spark machine learning library, today announced the creation of Delta Lake, a tool for making more reliable data lakes.

Databricks announced today two significant additions to its Unified Data Analytics Platform: Delta Engine, a high-performance query engine on cloud data lakes, and Redash, an open-source ...

Databricks has unveiled a new extract, transform, load (ETL) framework, dubbed Delta Live Tables, which is now generally available across the Microsoft Azure, AWS and Google Cloud platforms ...

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, MLflow, and Unity Catalog.

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