Data Orchestration
Solutions focusing on the orchestration and management of data pipelines, often integrating with big data technologies.
Updated June 14, 2026
Products that define this theme
A representative set of Workload Automation Software products that exemplify Data Orchestration, curated as a starting point for finding similar software.
Selected from G2's verified user reviews and ratings, then matched to this theme for relevance.
How Did G2 Choose These Data Orchestration Products?
The 6 products shown represent a defining sample for the "Data Orchestration" theme within Workload Automation Software on G2 — not an exhaustive list. They are a curated starting point for discovering similar software.
- Sourced from products with verified G2 user reviews and ratings.
- Matched to this theme based on each product's described capabilities and fit, ordered by relevance.
- Rankings and inclusion are unbiased and are not influenced by vendor payment.
Refreshed weekly. Last updated: June 14, 2026.
Control-M from BMC Software is a digital operations orchestration platform designed to help organizations connect applications, data pipelines, and infrastructure processes within a unified...
RunMyJobs by Redwood is the #1 recommended job scheduler, modern SaaS workload automation solution for SAP customers and only one that is an SAP Endorsed App and included in the RISE reference...
ActiveBatch is part of Redwood Software offering the easiest to use job scheduler and an extensible, highly reliable workload automation software. Redwood Software, a 2025 Gartner® Magic Quadrant™...
Tidal Software, part of Redwood Software, provides enterprise workload automation solutions that orchestrate the execution of complex workflows across systems, applications and IT environments....
For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data...
Prefect is modern workflow orchestration. Build, observe, and react to your data pipelines with a purely Python experience.