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

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

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 ...

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 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 ...

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

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.

Although you’ve always been able to install Spark or Databricks on Azure, Azure Databricks makes it a one-click experience, driving the setup process from the Azure Portal.

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 ...