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, ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

See whether Databricks or Snowflake is the better ETL tool for you using our comprehensive guide to compare their features, pricing and more. With more and more solutions entering the enterprise ...

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 ...

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 ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

AI copilots are accelerating ETL pipeline development, with platforms like Databricks integrating automation, governance, and serverless compute to streamline workflows. While these tools promise ...

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 ...

Databricks announced it is acquiring Mooncake Labs to accelerate its vision of a Lakebase—a new category of OLTP database built on Postgres and optimized for AI agents. With Lakebase, developers gain ...

Databricks Inc. has snapped up a startup called BladeBridge Inc., which offers tools for migrating enterprise data warehouses. The big-data company said Wednesday it plans to integrate its technology ...