Data pipeline usage ​

Workato measures data pipeline usage in Rows. Rows count the number of rows extracted from the source across all successful objects in each sync.

How rows are counted ​

The following diagram illustrates where usage is measured in a data pipeline. Rows are counted at extraction from the source, across all objects that sync successfully. Transformation and load steps don't add to the count.

Data pipeline calculation rules ​

Data pipeline usage calculations follow the general usage calculation rules, where rows from successful objects count toward usage and rows from failed objects are excluded.

Workato uses the following additional rules to calculate Rows:

• Each row extracted from a successful object counts as 1 Row.
• Rows from objects that fail to sync don't count toward usage. Failed objects are retried on later syncs. Once an object syncs successfully, its rows count then.
• Transformation and load steps within a pipeline don't contribute to Rows.
• Failed or canceled syncs count only the rows from objects that completed successfully before the failure or cancellation.
• ETL or ELT performed in a workflow recipe is measured as workflow recipe usage, not as data pipeline usage.

Data pipeline usage examples ​

The following examples demonstrate how Workato calculates data pipeline usage.

Example: Successful sync ​

The following table demonstrates how usage is counted when all synced objects complete successfully:

Each row extracted from a successful object counts as 1 Row.

Example: Sync with partial object failure ​

The following table demonstrates how usage is counted when a portion of the synced objects fail:

Only rows extracted from successful objects count toward usage.