Automatic Schema Creation
You don’t need to prepare the Google Cloud SQL for SQL Server database — Skyvia creates the tables, corresponding to the Delighted objects, in the data warehouse automatically.
Copying Delighted data to Google Cloud SQL for SQL Server cannot be simpler. You just need to perform the following three simple steps.
Specify necessary connection parameters for Delighted.
Specify necessary connection parameters for Google Cloud SQL for SQL Server.
Select Delighted objects to replicate.
You don’t need to prepare the Google Cloud SQL for SQL Server database — Skyvia creates the tables, corresponding to the Delighted objects, in the data warehouse automatically.
With Skyvia you can extract and load all the data from a Delighted object or disable loading for some Delighted object fields. You can also configure filters for data to replicate.
Skyvia not just copies Delighted data to Google Cloud SQL for SQL Server once, it can keep your Google Cloud SQL for SQL Server database up-to-date with Delighted automatically, ensuring you always have fresh data for data analysis without any user intervention.
Skyvia combines a high-performance optimized batch data loading into Google Cloud SQL for 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 Delighted to Google Cloud SQL for SQL Server, you may use Skyvia’s powerful ETL functionality for Delighted and Google Cloud SQL for SQL Server integration. Skyvia’s data import tools will correctly extract Delighted data, transform it, and load to Google Cloud SQL for SQL Server when Google Cloud SQL for SQL Server tables have different structure than Delighted 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 Delighted and Google Cloud SQL for SQL Server with minimal effort and in only a few clicks!