Notably, the new Lakeflow Declarative Pipelines capabilities allow data engineers to build end-to-end production pipelines in SQL or Python without having to manage infrastructure.

Built on Databricks’ Delta Live Tables technology, the LakeFlow Pipelines enable users to implement data transformation and ETL in either Python or SQL. This feature also offers a low latency mode for ...

Prophecy has launched an integration for Databricks, one that will allow users of the lakehouse to build data pipelines more easily.

Data + AI Summit -- Databricks, the Data and AI company, today announced it is open-sourcing the company's core declarative ETL framework as Apache Spark™ Declarative Pipelines. This initiative ...

Business users can create pipelines using visual tools, but behind the scenes, Databricks automatically embeds best practices – resilience, self-repairing capabilities, lineage tracking (which shows ...

The new Databricks Apps offering is already being used by as many as 50 enterprises for creating production-ready data and AI apps.

Getting high-quality data to the right places accelerates the path to building intelligent applications," said Ali Ghodsi, Co-founder and CEO at Databricks. "Lakeflow Designer makes it possible for ...

These releases build on Databricks' long-standing commitment to open ecosystems, ensuring users have the flexibility and control they need without vendor lock-in. Spark Declarative Pipelines tackles ...