Data orchestration:
Keep your data workflows coordinated and predictable
Data teams can't afford to let processes slow or break down
Data teams rely on complex chains of tools, pipelines, and environments, and when those moving parts aren’t orchestrated, everything slows down or breaks. Manual scheduling, inconsistent environments, and untracked dependencies make it nearly impossible to deliver reliable data at scale.
Our DataOps automation platform brings order and automation to the entire workflow. With environment-aware orchestration, consistent promotion paths, and automated scheduling, every pipeline runs in the right place, at the right time, with the right dependencies—across your entire Snowflake ecosystem.
Fragmented workflows slow everything down
Disconnected tools and pipeline steps make reliable, end-to-end execution difficult to achieve.
Manual scheduling creates bottlenecks
Relying on people to trigger or time workflows leads to collisions, delays, and unpredictable pipeline runs.
Environment drift breaks consistency
Different configurations across dev, test, and prod introduce inconsistencies that make debugging painful and slow.
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Dependencies are hard to coordinate
Pipelines, tasks, and external tools depend on each other in ways teams must manage manually - pulling focus away from real delivery.
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Coordinated multi-tool workflows
Integrate and orchestrate dbt™, Snowflake features, and third-party tools into a seamless, end-to-end data flow.
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Smart pipeline orchestration with Metis
Our AI agent automates scheduling, dependency handling, and workflow execution, so pipelines run reliably every time.
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Environment-aware execution
Run pipelines in the correct development, testing, or production environment with consistent configuration and promotion paths.
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Dependency and task management
Define, enforce, and visualize task dependencies across pipelines to prevent collisions and reduce operational friction.
DataOps.live is about collaborative development. It’s about the ability to coordinate and automate testing and deployment, and therefore shorten the time to value.
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DataOps.live delivered in a massive, massive way, and we couldn't imagine where we'd be now without their partnership.
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This approach delivers strong governance, the necessary geo-restrictions, departmental autonomy, and that all-important innovation at speed.
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Build robust, governed data pipelines at speed
Want to see DataOps.live in action? Join our data engineering team for a hands-on lab to automate your first CI/CD pipeline for Snowflake in under an hour.
Featured stories
Field notes from the data layer
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