Unveiled last June, the Apache Spark cloud-hosted platform from Databricks has now opened its doors for business.

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

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 ...

It unifies critical data analytics capabilities such as SQL, advanced analytics, and streaming in a single framework. Databricks is a company that was founded by the team that created and continues to ...

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 ...

Two years in the making, Apache Spark 2.0 will officially debut in a few weeks from Databricks, which just released a technical preview so Big Data developers could get their hands on the 'shiny new ...

Databricks is a San Francisco-based startup founded by the team that developed the popular open-source Apache Spark data-processing framework at the University of California-Berkeley.

Last week Databricks shared its development roadmap for Spark with the world. The company has near-term and long-term plans to boost the performance of the platform; the plans are grouped into ...

The Apache Spark community last week announced Spark 3.2, a significant new release of the distributed computing framework. Among the more exciting features are deeper support for the Python data ...

Azure Databricks Designed in collaboration with the founders of Apache Spark, the preview of Azure Databricks is a fast, easy and collaborative Apache Spark-based analytics platform that delivers ...