Orchestrate Smarter. Run Leaner. Move Faster
Gain visibility, reduce waste, and automate execution across every scheduler and environment.
Intelligent
Orchestration
Automatically orchestrate pipelines based on resource availability and priorities to avoid delays and reduce costs.
Full Workflow Visibility
Get a real-time view of pipeline status, dependencies, failures, and performance so you can act fast.
Efficient Resource Usage
Eliminate over-provisioning and reduce cloud costs with smart resource management and usage recommendations.
"With Control-M and Bluemetrix Data Manager, ING Bank Slaski reduces processing time by 70% while improving its data ingestion and validation processes."
Mariusz Narewski, Senior IT Manager, ING Bank Slask

Simplify Cross-Scheduler Operations
Stop juggling Airflow, Oozie and Control-M separately. Bluemetrix brings it all together in one intelligent orchestration layer.
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Central orchestration layer. Manage workflows from Airflow, Control-M and Oozie — all from a centralized interface.
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Trigger jobs anywhere. Run and execute pipelines across cloud, on-prem or hybrid setups without rewriting orchestration logic.
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Real-time SLA tracking. Monitor job status, dependencies, and failures from a single pane of glass.
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End engineer context-switching. Reduce operational complexity by up to 70% and context-switching for engineers

Modernize Faster with Built-In Migration Support
Bluemetrix’s architecture is purpose-built to streamline orchestration activities and improve collaboration across teams. With Bluemetrix Workflow Manager, you can
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Migrate without rewriting. Convert workflows from Oozie, Airflow, or Spark into scheduler-agnostic formats that run anywhere.
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Import and export with ease. Move your workflows into enteprise-ready orchestration platform like Control-M — no remapping, custom glue code and expertise required.
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Use your tools, your way. Build, test, and manage workflows using CLI, UI, or API to match your existing dev practices.
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Accelerate data modernization. Shrink migration timelines from weeks to days and consolidate scheduler sprawl into a single, unified view.
