Data analytics contender Databricks offers a platform that, along with the open source Apache Spark technology on which its core is based, has long been a favorite for attacking streaming data, data ...

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 ...

Apache Spark was the pinnacle of advanced analytics just a few years ago. As the primary developer of this technology, Databricks Inc. has played a key role both in its commercial adoption, in the ...

As well as access control, Databricks 2.0 now offers use of the popular R statistical programming language, support for multiple versions of Spark, and notebook versioning. Spark started in 2009 as a ...

Companies that want to run traditional enterprise BI workloads but don’t want to involve a traditional data warehouse may be interested in the new Databricks SQL service that became generally ...

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

The new SQL Analytics software provides a more effective, more cost-efficient alternative to complex data warehouse systems, according to the big data company. Fast-growing big data company Databricks ...

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. And ...