Benefit from Apache Spark's Advanced Distributed SQL Engine to Handle Big Data

Schedule a Demo

Astro + Apache Spark

Run big data transformations in Spark with Astro, the modern data orchestration platform powered by Apache Airflow. Astro’s Spark provider package lets you easily kick off Spark jobs and execute Spark SQL from within your data pipelines. You get full observability over the Spark jobs you’re running.

 Apache Spark

About Apache Spark

Apache Spark is an open source multi-language unified data and analytics platform for distributed data processing. Use Astro as your orchestration platform, and use the Apache Spark execution framework to do the heavy lifting in your data engineering, data science, and machine learning data pipelines.


Use Case

Transforming petabytes of data requires a framework that can handle distributed heavy data loads. Apache Spark has become one of the core tools in interacting with large amounts of data in a swift and reliable way and Astro is the ideal platform to orchestrate Spark jobs on complex schedules.

See Astro in Action: Get a demo that’s customized around your unique data orchestration workflows and pain points.

Schedule a Demo