Declarative pipelines use the same execution engine as scripted pipelines, but they add a number of new benefits.

This battle-tested declarative framework for building data pipelines helps engineers address common pain points like complex pipeline authoring, manual operations overhead and siloed batch/streaming.

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

SAN FRANCISCO, June 11, 2025 /PRNewswire/ -- 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™ ...

Looking to get more out of your DevOps tooling? The declarative Jenkins pipeline helps take continuous integration and continuous delivery to new heights.

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 ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...