Databricks said the free offering automates up to 80% of the migration lifecycle and can be used as part of a strategy to modernize analytics and AI infrastructure. The company said demand is surging ...

SAN FRANCISCO, June 06, 2017 (GLOBE NEWSWIRE) -- Databricks, the company founded by the creators of the popular Apache Spark project, today anno ...

Databricks, the company founded by the creators of the popular open-source Big Data processing engine Apache Spark with its flagship product, Databricks Cloud, today announced they have developed ...

No SQL engine supports the breadth of the ANSI standard out of the box, and Spark SQL’s ANSI journey has been a work in progress. With Spark 3.0, the engine gains closer adherence to the standard. The ...

Popular Languages, Components (source: Databricks) It was the increased usage of SQL, streaming and ML that caught Databricks eye, though. "Since last year, the use of Spark components in production ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Image: Databricks After running its Apache Spark-based cloud platform in a closed user program for the past year, Databricks says the service is now publicly available for the first time.. The ...

Databricks can run Python, Spark Scholar, SQL, NC SQL, and other platforms. It comes packaged with its own user interface as well as ways to connect to endpoints such as JDBC connectors.

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.

Databricks Cloud handles the metadata, launching and provisioning a Spark Cluster, and makes it easy for that cluster to process an organization's data stored in Amazon's S3 service.