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, the company behind Apache Spark, today announced the beta release of Databricks Community Edition, a free version of the cloud-based big data platform at Spark Summit East. This service ...

SAN FRANCISCO, CA--(Marketwired - Feb 17, 2015) - Databricks, the company founded by the creators of the popular open-source Big Data processing engine Apache Spark with its flagship product, ...

When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...

SAN FRANCISCO, CA--(Marketwired - Apr 12, 2017) - Databricks, the company founded by the creators of the popular Apache Spark project and providers of the leading Spark-based cloud platform for data ...

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 ...

Taking on Google, Databricks plans to offer its own cloud service for analyzing live data streams, one based on the Apache Spark software. Databricks Cloud is designed to provide a platform for ...

SAN FRANCISCO, June 11, 2025 /PRNewswire/ --Data + AI Summit -- Databricks, the Data and AI company, today announced it is open-sourcing the company's core declarative ETL framework as Apache Spark™ ...