With access to datasets widening inside businesses, the Databricks big-data Apache Spark cloud offering is adding new features to cope.

Databricks believes that big data is a huge opportunity that is still largely untapped and wants to make it easier to deploy and use.

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

Databricks, the company behind open source Apache Spark, today rolled out a certification program that creates a Spark standard that big data analytic application developers can write to, and that ...

Databricks, the primary commercial steward behind the popular open source Apache Spark project, published a new report indicating the technology is still red-hot, driven by more use of SQL, streaming ...

“Apache Spark 2.0.0 is the first release on the 2.x line,” noted the ASF on the Apache Spark website. “The major updates are API usability, SQL 2003 support, performance improvements ...

At a Spark Summit 2017 conference this week, Databricks announced that it will be making an instance of the Apache Spark in-memory computing framework available as a managed cloud service running on ...

Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...

It’s been two years since Apache Spark 1.0 was released, and today Databricks is giving everyone a preview for what is to come in version 2.0. According to the company, the upcoming version ...