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 ...

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 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 ...

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, ...

Spark has taken big data by storm. What's next for the in-memory engine of choice? Spark's primary commercial backer, Databricks, offers a clue Last week at Spark Summit East, Databricks dropped a few ...

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 ...

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 ...

Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...

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 ...

Databricks Inc., a commercial champion of the open source Apache Spark Big Data analytics project founded by the technology's creators, introduced a new free community edition of its Spark-based data ...