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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 ...

The cloud-hosted environment, described by Databricks as being deployed by more than 150 firms, aims to simplify the use of the open-source cluster compute engine and cut the time spent developing, ...

Databricks, the company founded by the team that created Apache® Spark™, today announced that Apache Spark 2.0 is generally available on its just-in-time data platform, making it the first vendor to ...

Hydrolix, the company transforming the economics of log data with its streaming data lake platform, is unveiling a new Apache Spark connector that democratizes the power of Databricks to customers’ ...

Databricks has announced that, in collaboration with industry partners, it has broken the world record in the CloudSort Benchmark, a third-party industry benchmarking competition for processing large ...

Databricks has announced a major new update to the popular data analytics cluster framework Apache Spark, adding support for the R statistical programming language in an effort to make life easier for ...

The immensely popular open-source cluster computing framework Apache Spark has just reached version 2.0, according to an announcement by the Apache Software Foundation (ASF) yesterday. Spark’s ...

Spark Declarative Pipelines automate flows for batch and streaming data, while Lakeflow Jobs coordinate tasks from SQL queries to machine learning model deployment, supporting streaming tables, ...

With the Hydrolix Spark Connector, Databricks users can use the Hydrolix streaming data lake to extract deeper insights faster and cheaper from their real-time and historical log data. According to a ...