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

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 ...

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

Databricks’ platform is a cloud-based Big Data processing engine based on Spark, offering a multi-user graphical interace and standard libraries like Spark SQL and MLlib. The new update offers ...

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 ...

Databricks, the primary commercial steward of the open source Apache Spark project for Big Data analytics, has upgraded its Spark-based platform, adding support for the R programming language, access ...

Databricks today announced a new big data platform called the Databricks Cloud that will allow users to leverage Apache Spark technology to build end-to-end pipelines that underlie advanced analytic ...

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 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.

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