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Talend Data Preparation 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...
2 free Talend Data Preparation licenses with a Talend subscription license
  • Talend Data Management Platform
  • Talend Data Services Platform
  • Talend Big Data Platform
  • Talend Real-Time Big Data Platform
  • Talend Data Fabric
Self-service on-demand dataset creation. See Importing and exporting data.
Share data preparations and datasets. See Sharing a preparation and Sharing a dataset.
Auto-discovery, standardization, auto-profiling, smart suggestions, and data visualization. See Discovering the data.
Customize the semantic types used for data discovery and validation, so that they match your business cases. See Managing semantic types.
Data masking capabilities. See Protecting data.
Cleansing and enrichment functions. See List of functions.
Combine filters to work on a specific subset of data. See Filtering data.
Preparations can be incorporated into standard or Big Data Talend Jobs in Talend Studio. See Data Preparation components and Data Preparation scenarios.
Support of different formats to use as source for datasets, and as output when exporting the result of preparations. See Supported input and output formats.

Cloud features

Feature Available in...
2 free Talend Cloud Data Preparation 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
Import, export and combine data from any database, Excel or CSV file. See Creating a dataset.
Self-service on-demand dataset creation. See List of supported connectors.
Share data preparations and datasets. See Sharing a preparation and Sharing a dataset.
Auto-discovery, standardization, auto-profiling, smart suggestions, and data visualization. See Discovering the data.
Customize the semantic types used for data discovery and validation, so that they match your business cases. See Managing semantic types.
Data masking capabilities. See Protecting data.
Cleansing and enrichment functions. See List of functions.
Combine filters to work on a specific subset of data. See Filtering data.
Preparations can be incorporated into standard or Big Data Talend Jobs in Talend Studio. See Data Preparation components and Data Preparation scenarios.

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