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 ...

“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 ...

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 ...

Databricks and Hugging Face integrate Apache Spark to more seamlessly load and transform data for AI model training and fine-tuning.

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 ...