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