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 ...

At the core of the company’s lakehouse is Delta Lake, Databricks’ Linux Foundation-managed open-source project that brings a new storage layer to data lakes that helps users manage the ...

In general, Synapse Analytics seeks to unify an array of analytics workloads, including data warehouse, data lake, machine learning ... with it (as is Azure Data Factory). Spark SQL tables are ...

data and AI company Databricks is shifting gears with Delta Lake, the open-source framework serving as the foundation to store data and tables in its own lakehouse offering. Today, at its annual ...

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 ...

As with other data lake and data warehouse providers — such as Snowflake, which also has been on an industry-focused solutions release spree — Databricks too wants to offer more functionality ...

“By teaming up with Databricks, we aim to remove the key technical barriers to data lake and big data management so our customers can accelerate their analytics and machine learning initiatives ...

Databricks, the inventor and commercial distributor of the Apache Spark processing platform, has announced the launch of an open source project called Delta Sharing at the Data + AI Summit.

January was a huge month for data lake-focused companies' funding. Now that we've ticked over into February, it looks like the data "lakehouse" is getting its due as well. Databricks, the company ...

Databricks’ other open source project, which debuted last year. “Delta Lake looks at all the data that’s coming in and makes sure that this data adheres to the schema that you’ve specified.