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