Automatic Schema Creation
You don’t need to prepare the SQL Server database — Skyvia creates the tables, corresponding to the Confluence Cloud objects, in the data warehouse automatically.
Copying Confluence Cloud data to SQL Server cannot be simpler. You just need to perform the following three simple steps.
Specify necessary connection parameters for Confluence Cloud.
Specify necessary connection parameters for SQL Server.
Select Confluence Cloud objects to replicate.
You don’t need to prepare the SQL Server database — Skyvia creates the tables, corresponding to the Confluence Cloud objects, in the data warehouse automatically.
With Skyvia you can extract and load all the data from a Confluence Cloud object or disable loading for some Confluence Cloud object fields. You can also configure filters for data to replicate.
Skyvia combines a high-performance optimized batch data loading into SQL Server with a granular, per-record data insertion and error logging in case of any errors.
If you need more than just to copy data from Confluence Cloud to SQL Server, you may use Skyvia’s powerful ETL functionality for Confluence Cloud and SQL Server integration. Skyvia’s data import tools will correctly extract Confluence Cloud data, transform it, and load to SQL Server when SQL Server tables have different structure than Confluence Cloud objects. Moreover, Skyvia Data Import allows loading data in any direction, supporting Reverse ETL scenario.
Use flexible scheduling settings to automate replication
You can find detailed logs for each execution in the package Run History.
Enable email notifications and always know if anything goes wrong.
Integrate Confluence Cloud and SQL Server with minimal effort and in only a few clicks!