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 ...

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...

Databricks Inc. today introduced two new products, LakeFlow and AI/BI, that promise to ease several of the tasks involved in analyzing business information for useful patterns. LakeFlow is designed to ...

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 announced on the 13th that it plans to unveil a demonstration version of its new no-code ETL (Extract, Transform, Load) feature, "Lakeflow Designer," which allows non-technical users to ...

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 + ...

As part of the Data + AI Summit, Databricks announced a number of new features, including the launch of Agent Bricks, an automated method for creating customized AI agents for companies, and the ...