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Review the sync history

AvailableCloud AvailableSelf-Managed Community (OSS)AvailableSelf-Managed Enterprise

The job history displays information about synced data, such as the amount of data moved, the number of records read and committed, and the total sync time. Reviewing this summary can help you monitor the sync performance and identify any potential issues.

Job History

To review the sync history, click a connection in the list to view its sync history. Sync History displays the sync status or clear status. The sync status is defined as:

Succeeded100% of the data has been extracted and loaded to the destination
Partially SucceededA subset of the data has been loaded to the destination
FailedNone of the data has been loaded to the destination
CancelledThe sync was cancelled manually before finishing
RunningThe sync is currently running

Sync summary‚Äč

Each sync shows the time the sync was initiated and additional metadata. This information can help in understanding sync performance over time.

x GB (also measured in KB, MB)Amount of data moved during the sync
x extracted recordsNumber of records read from the source during the sync
x loaded recordsNumber of records the destination confirmed it received.
xh xm xsTotal time (hours, minutes, seconds) for the sync to complete

In the event of a failure, Airbyte will make several attempts to sync your data before waiting for the next sync to retry. The latest rules can be read about here.


For Airbyte Cloud syncs which are priced based on the size of the records moved, we use the information presented in the sync summary in the Airbyte user interface. As every database stores and compresses data differently, the measure of data volume which is used is that which is observed by the Airbyte Platform during the sync. When the data is in transit, it is serialized to Airbyte Protocol format records. This is likely to be a larger representation of your data than you would see if you were to query your database directly.

On this page, you can also view the complete logs and find any relevant errors, find a link to the job to share with Support, or download a copy of the logs locally.

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