Skip to main content

         This documentation site is for previous versions. Visit our new documentation site for current releases.      

This content has been archived and is no longer being updated.

Links may not function; however, this content may be relevant to outdated versions of the product.

Types of data flows

Updated on March 11, 2021

Data flows are scalable data pipelines that you can build to sequence and combine data based on various data sources. Each data flow consists of components that transform data and enrich data processing with business rules.

You can create data flows that process data in different ways:

Batch data flows
Go over a finite set of data and eventually complete processing. Batch data flows are mainly used for processing large volumes of data.
Real-time data flows
Go over an infinite set of data. Real-time data flows are always active and continue to process incoming stream data and requests.
Single case data flows
Executed on request with the data flow source set to abstract. Single case data flows are mostly used to process inbound data.
Note: Data flow runs that are initiated through the Data Flows landing page run in the access group context. These data flows always use the checked-in instance of the data flow rule and the referenced rules. You can use a checked-out instance of the data flow rule if you do a test run.
  • Previous topic Configuring a data flow to update a single property only
  • Next topic Changing the number of retries for SAVE operations in batch and real-time data flow runs

Have a question? Get answers now.

Visit the Support Center to ask questions, engage in discussions, share ideas, and help others.

Did you find this content helpful?

Want to help us improve this content?

We'd prefer it if you saw us at our best. is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us