Mailjet to SQL Azure

Copy (ELT) Mailjet data to SQL Azure in a few clicks and keep it up to date automatically.

How to Replicate Mailjet Data to SQL Azure

Copying Mailjet data to SQL Azure cannot be simpler. You just need to perform the following three simple steps.

Step 1

Specify necessary connection parameters for Mailjet.

Step 2

Specify necessary connection parameters for SQL Azure.

Step 3

Select Mailjet objects to replicate.

Powerful Replication Features

Automatic Schema Creation

You don’t need to prepare the SQL Azure database — Skyvia creates the tables, corresponding to the Mailjet objects, in the data warehouse automatically.

Complete or Partial Replication

With Skyvia you can extract and load all the data from a Mailjet object or disable loading for some Mailjet object fields. You can also configure filters for data to replicate.

Change Data Capture

Skyvia not just copies Mailjet data to SQL Azure once, it can keep your SQL Azure database up-to-date with Mailjet 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 Azure 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 Mailjet to SQL Azure, you may use Skyvia’s powerful ETL functionality for Mailjet and SQL Azure integration. Skyvia’s data import tools will correctly extract Mailjet data, transform it, and load to SQL Azure when SQL Azure tables have different structure than Mailjet 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 Mailjet and SQL Azure with minimal effort and in only a few clicks!