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Batch workflows are used to collect process and distribute file-based data, also referred to as an offline model. These workflows can be configured for multi-threaded execution, enforcing a first-in-first-out processing order, and a strict transaction boundary based on each batch processed. Batch workflows are transaction safe as data processing can be rolled back and reprocessed if required. This since the file currently being collected and forwarded is saved as temporary files during processing. Only when the file is fully processed, all data is transaction saved. Should the workflow be interrupted, the temporary files are removed. When the workflow is restarted, it will restart from the beginning with the file it was previously processing. 

Batch workflow example.

The records in a file/batch are processed in order.

Real-Time Workflow

Real-time workflows enable online processing of requests/answers with other systems. These workflows enable execution of large numbers of independent execution paths simultaneously using a multi-threading execution model. The order of the processing of records hence varies. 

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