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.

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 Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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 ...

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 ...

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Scott Guthrie, Microsoft EVP of Cloud & Enterprise. Microsoft Azure customers interested in parsing large amounts of data to improve their businesses will soon be able to use Azure Databricks, ...

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.