The San Francisco-based startup has released a SQL-based, self-orchestrating data pipeline platform, claiming it will go to go toe-to-toe with Databricks’ Delta Live Tables.

In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...

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 ...

Also read: AI gets rigorous: Databricks announces MLflow 1.0 Also read: Databricks introduces MLflow Model Registry, brings Delta Lake to Linux Foundation Individual, indivisible. Data lakes and ...

Databricks, a big data analytics software provider, today announced that it raised $1.6 billion in a series H financing round led by Counterpoint Global, with participation from BNY Mellon and ...

Once in the data lake, users can then work with the compute engine of their choice (think Databricks, Snowflake, Starburst or Redshift) to operationalize that data — or bring it to a machine ...

Today, Databricks announced the release of Delta Lake 3.0 with a universal format allowing support for Apache Iceberg and Hudi. Skip to main content Events Video Special Issues Jobs ...

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 provide.

Delta Lake also uses the Spark engine to handle the metadata of the data lake (which by itself is often a big data problem). Over time, Databricks also plans to add an audit trail, among other things.

Delta Lake, which Databricks released to open source, forms the foundation of the lakehouse by providing reliability and high performance directly on data in the data lake. Databricks Lakehouse ...