Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.

To address this gap, Databricks lets users switch between user “experiences” that it exposes, including data science/engineering, SQL analytics, and machine learning experiences, to access tools and ...

Databricks first launched Workspaces in 2014 as a cloud-hosted, collaborative environment for development data science applications. Since then, Jupyter has become a lot more popular, says Matei ...

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 ...

Fivetran’s support for SQL Analytics will enable data analysts and BI users to build end-to-end data pipelines on their lakehouse architecture in Databricks.

Tecton, the enterprise feature store company, is partnering with Databricks, the Data and AI Company, to help organizations build and automate their machine learning (ML) feature pipelines from ...

Databricks' $1.3 billion buy of AI startup MosaicML is a battle for the database's future MosaicML has been working on reinventing what a database is via artificial intelligence.

JFrog Ltd. the Liquid Software company and creators of the JFrog Software Supply Chain Platform, is offering a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an ...