Workflows, Automation and Monitoring
Dataiku lets you deploy workflows easily with safe versioning and rollback. Then automate your deployments as part of a larger production strategy.
Manage your data pipelines
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Dataiku lets you package a whole workflow, optionally including data and models, as a single deployable and reproducible package.
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Install dedicated automation instances of Dataiku to run your exported workflows.
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Provides for fully staged deployment models: from dev to test to preproduction to production, all within a single UI.
Deploy models to production in one click
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Empower analysts and data scientists to deploy models into production in a few click
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Data cleaning, enriching, preprocessing, as well as models, are bundled together for simplified scoring pipelines.
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Deployed models are versioned, enabling users to deploy new versions, compare them and rollback at anytime.
Automation Scenarios
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Builtin orchestration tool with task management, advanced triggering policies, and notifications.
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Implement automation scenarios either directly within the interface or using Dataiku Python scenario API.
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Fully API-driven: easily integrate with an external orchestrator thanks to the DSS REST API.
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Automatically start your workflow when data changes or based on customizable conditions.
Monitor processing and data
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Dataiku DSS’ dashboard monitoring helps you rest assured that your deployment runs smoothly.
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Implement automatic data validation policies – critical data or model metrics can be checked at each run.
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Track and visualize your models’ drift over time.
Safe versioning and rollback
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Manage all versions of your workflows, easily review changes and activate new versions.
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When things go wrong, Dataiku is there to help: rollback and be assured that your workflow will remain consistent.
