Connectors in Few Databricks Destination failing with 'Too Many Tables' Error

We have resolved the issue of not deleting staging tables leading to the issue. Going forward staging tables will be deleted in every sync. We are rolling out a cleanup process to delete all the old staging tables even if the connections are not failing for your destination.

If you are still seeing the issue, please drop fivetran_staging schema to cleanup the staging tables.

We have deployed the fix to drop staging tables going forward and performing cleanup tasks for the destinations that are still facing issues. We will maintain ongoing monitoring of all affected connectors until they fully recover their regular sync functionality.

We have identified the cause of the sync failure and developed a code fix, which is currently being deployed.

The issue has been identified and we are working to resolve it.