Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.

Big data vendor Databricks unveiled SQL Analytics for running SQL queries on data lake systems as an alternative to data warehouses.

Databricks is a cloud-based big-data processing platform built on Spark, with standard libraries such as Spark SQL and MLlib, and a multi-user graphical interface.

First created as part of a research project at UC Berkeley AMPLab, Spark is an open source project in the big data space, built for sophisticated analytics, speed, and ease of use. It unifies critical ...

Direct competitors to Databricks Lakehouse Platform include Dremio, Ahana Presto, and Amazon Athena, in addition to the open source project, Apache Spark.

Databricks SQL is a key component in the company’s ambition to construct a data lakehouse architecture that blends the best of data lakes, which are based on object storage systems, and traditional ...

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 ...

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 ...

AI and data analytics company Databricks today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes ...