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Talend Data Stewardship features

Information noteDeprecation: This document was last updated in March 2024 and its content might not be up to date. For recent information about feature availability, see Data Integration and Quality Pricing and Product Terms.

On-premises and hybrid features

Feature Available in...
Define data models, data semantics and profile data accordingly. See Working with data models.
  • Talend Data Management Platform
  • Talend Big Data Platform
  • Talend Real-Time Big Data Platform
  • Talend Data Fabric
Data Quality rules helping detect anomalies in campaigns. See Working with data quality rules.
Information noteNote: This feature is only available with the hybrid application.
Orchestrate and collaborate on activities in campaigns. See Working with campaigns.
Define user roles, workflows and priorities, assign and delegate tasks, tag and comment. See Built-in roles and workflows.
Merge and match data, resolve data errors, and arbitrate on data (classification and certification). See List of functions on tasks.
Define and apply survivorship rules and mass updates functions. See List of functions on columns.
Take matching decisions that cannot be processed automatically. See Reconciling data coming from different sources.
Undo/redo based on business needs.
Embed governance and stewardship activities in data integration flows and manage rejects. See Data Stewardship components.
Monitor progress of campaigns. See Monitoring campaigns.
Audit and track data error resolution actions. See Enabling and configuring audit capabilities in Talend Data Stewardship.

Cloud features

Feature Available in...
2 free Talend Cloud Data Stewardship licenses with a Talend subscription license
  • Talend Cloud Pipeline Designer Standard
  • Talend Cloud Data Integration
  • Talend Cloud Big Data
  • Talend Cloud Data Management Platform
  • Talend Cloud Big Data Platform
  • Talend Cloud API Services Platform
  • Talend Cloud Data Fabric
Define data models, data semantics and profile data accordingly. See Working with data models.
Data Quality rules helping detect anomalies in campaigns. See Working with data quality rules.
Orchestrate and collaborate on activities in campaigns. See Working with campaigns.
Define user roles, workflows and priorities, assign and delegate tasks, tag and comment. See Built-in roles and workflows.
Merge and match data, resolve data errors, and arbitrate on data (classification and certification). See List of functions on tasks.
Define and apply survivorship rules and mass updates functions. See List of functions on columns.
Take matching decisions that cannot be processed automatically. See Reconciling data coming from different sources.
Undo/redo based on business needs.
Embed governance and stewardship activities in data integration flows and manage rejects. See Data Stewardship components.
Monitor progress of campaigns. See Monitoring campaigns.

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