Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

The no-code ETL tool works by combining a generative AI assistant for pipeline creation and Unity Catalog for governance. Databricks showcased a new no-code data management tool, powered by a ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...

Databricks, which has traditionally appealed to coding-savvy data scientists and data engineers, is making a play to broaden its base of users with new products unveiled this week at the company’s ...

Databricks on Wednesday unveiled Agent Bricks and Lakeflow Designer, new tools that use AI to make it easier for customers to develop AI applications. Agent Bricks is an automation framework that ...

No ETL pipelines (even hidden ones): There are no pipelines synchronizing operational and analytical stores, replicas to maintain, or connectors moving data between systems. The architecture ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

Databricks on September 28, 2026, introduced Lakebase Search, a built-in search engine for its Lakebase Postgres database delivered through two extensions: lakebasevector for approximate nearest ...