Databricks is receiving $60 million in a Series C funding round led by New Enterprise Associates (NEA), boosting its commitment to Apache Spark and the Databricks data platform. Also participating in ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

Databricks, provider of the Unified Analytics Platform and founded by the team who created Apache Spark, is releasing Apache Spark 2.3.0 on Databricks’ Unified Analytics Platform. Databricks is the ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

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 ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...