Automatic Schema Creation
You don’t need to prepare Elasticsearch — Skyvia creates the indexes corresponding to the Slack objects automatically.
Copying Slack data to Elasticsearch cannot be simpler. You just need to perform the following three simple steps.
Specify necessary connection parameters for Slack.
Specify necessary connection parameters for Elasticsearch.
Select Slack objects to replicate.
You don’t need to prepare Elasticsearch — Skyvia creates the indexes corresponding to the Slack objects automatically.
With Skyvia you can extract and load all the data from a Slack object or disable loading for some Slack object fields. You can also configure filters for data to replicate.
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 Slack to Elasticsearch, you may use Skyvia’s powerful ETL functionality for Slack and Elasticsearch integration. Skyvia’s data import tools will correctly extract Slack data, transform it, and load to Elasticsearch when Elasticsearch indexes have different structure than Slack 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 Slack and Elasticsearch with minimal effort and in only a few clicks!