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 ...

Together, these Spark 3.0 enhancements deliver an overall 2x boost to Spark SQL’s performance relative to Spark 2.4. But according to Databricks, on 60 out of 102 queries, the speedups ranged from 2x ...

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

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

Databricks was founded by the people behind Apache Spark, and the company still contributes heavily to the open source Spark project. Databricks has also contributed several other products to open ...

With Spark 3.2, the integration with pandas goes up a notch. Folks working in pandas can now scale out their pandas application with a single line change, enabling that app to take advantage of ...

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 ...

The Spark core supports APIs in R, SQL, Python, Scala, and Java. Additional Spark modules include Spark SQL and DataFrames; Streaming; MLlib for machine learning; and GraphX for graph computation ...

The technical preview of Spark 2.0 is available in the company’s cloud-based Big Data platform, Databricks Community Edition.

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 ...