Automatic Schema Creation
You don’t need to prepare Elasticsearch — Skyvia creates the indexes corresponding to the Confluence Cloud objects automatically.
Copying Confluence Cloud data to Elasticsearch 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 Elasticsearch.
Select Confluence Cloud objects to replicate.
You don’t need to prepare Elasticsearch — Skyvia creates the indexes corresponding to the Confluence Cloud objects 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 not just copies Confluence Cloud data to Elasticsearch once, it can keep your Elasticsearch indexes up-to-date with Confluence Cloud automatically, ensuring you always have fresh data for data analysis without any user intervention.
Skyvia combines a high-performance optimized batch data loading into Elasticsearch 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 Elasticsearch, you may use Skyvia’s powerful ETL functionality for Confluence Cloud and Elasticsearch integration. Skyvia’s data import tools will correctly extract Confluence Cloud data, transform it, and load to Elasticsearch when Elasticsearch indexes have different structure than Confluence Cloud objects. Moreover, Skyvia Data Import allows loading data in any direction.
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 Elasticsearch with minimal effort and in only a few clicks!