Databricks debuted its Lakebase fully managed database and Agent Bricks agent development workspace at the Data + AI Summit.

Spark and the Databricks workspace. The idea behind the product, Stoica says, is to provide a single place to process data without having to worry about managing a Hadoop cluster to process your data.

The big ticket items are the addition of a SQL Analytics Workspace ... multiple clusters. The Databricks platform will route all endpoint query requests to a particular cluster, in appropriate ...

But both personas will feel more comfortable developing applications in the new version of Databricks Data Science Workspace, which the company unveiled today at Spark + AI Summit. Databricks first ...

For those of you just tuning in, Spark, an open source cluster computing framework, was originally developed by Matei Zaharia at U.C. Berkeley’s AMPLab in 2009, and later open-sourced and ...

The Amazon, Microsoft, Databricks, Google ... an HDInsight (Hadoop) cluster, and a machine learning workspace with Azure Machine Learning Studio. If the choices confuse you, Microsoft documents ...

It then set up a Databricks workspace - and assigned ... “In terms of compute, each workspace would have a shared cluster and shared SQL warehouse at a department level, and then depending ...

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. Databricks ...

Databricks, a company founded by the creators of the Apache Spark cluster computing framework, announced the beta release of Databricks Community Edition at Spark Summit East in New York City today.