Magento to SQL Azure

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

How to Replicate Magento Data to SQL Azure

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

Step 1

Specify necessary connection parameters for Magento.

Step 2

Specify necessary connection parameters for SQL Azure.

Step 3

Select Magento 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 Magento objects, in the data warehouse automatically.

Complete or Partial Replication

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

Change Data Capture

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