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 ...

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 ...

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 ...

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.

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 ...

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 ...