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