Automatic Schema Creation
You don’t need to prepare the SQL Server database — Skyvia creates the tables, corresponding to the Mailchimp objects, in the data warehouse automatically.
Mailchimp to SQL Server
Copy (ELT) Mailchimp data to SQL Server in a few clicks and keep it up to date automatically.
How to Replicate Mailchimp Data to SQL Server
Copying Mailchimp data to SQL Server cannot be simpler. You just need to perform the following three simple steps.
Specify necessary connection parameters for Mailchimp.
Specify necessary connection parameters for SQL Server.
Select Mailchimp objects to replicate.
Powerful Replication Features
Complete or Partial Replication
With Skyvia you can extract and load all the data from a Mailchimp object or disable loading for some Mailchimp object fields. You can also configure filters for data to replicate.
Change Data Capture
Skyvia not just copies Mailchimp data to SQL Server once, it can keep your SQL Server database up-to-date with Mailchimp automatically, ensuring you always have fresh data for data analysis without any user intervention.
Optimized Data Loading
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.
True ETL — Data Import Tool
If you need more than just to copy data from Mailchimp to SQL Server, you may use Skyvia’s powerful ETL functionality for Mailchimp and SQL Server integration. Skyvia’s data import tools will correctly extract Mailchimp data, transform it, and load to SQL Server when SQL Server tables have different structure than Mailchimp objects. Moreover, Skyvia Data Import allows loading data in any direction, supporting Reverse ETL scenario.
Automation and Monitoring
Flexible Scheduling
Use flexible scheduling settings to automate replication
Detailed Logging
You can find detailed logs for each execution in the package Run History.
Email Notifications
Enable email notifications and always know if anything goes wrong.
Integrate Mailchimp and SQL Server with minimal effort and in only a few clicks!