Magento is an eCommerce platform for various clients to deploy their eCommerce website on Magento’s platform. Magento provides various perks and advantages for the client’s to give their customers a seamless shopping experience.

In this post, you will know various ways to move the data from Magento to MySQL Database. Here is a brief outline of the blog:

Methods to Retrieve Data from Magento and Push to MySQL

This article will discuss two methods to retrieve data from Magento and push it to MySQL.

Method 1:  Steps to Stage Data from Magento to MySQL Manually

Use HEVO’s no code data pipeline platform, which specifically has the requirements needed to automatically shift data from Magento to MySQL.

Method 2: Steps to Load Data from Magento to MySQL using Hevo.

Create your own custom python script to retrieve the data from the Magento and push it to MySQL.

Method 1:  Steps to Stage Data from Magento to MySQL Manually

Prerequisites for this method

  • If token-based authentication is being used, then create a web services user on Magento Admin by selecting System > Permission > All Users > Add New User (If you are using session-based or OAuth authentication, any new user may not need to be created in the Admin).
  • Create a new integration on Magento Admin. To create an integration, click System > Extensions > Integration > Add New Integration**. Be sure to restrict which resources can be accessed by the integration.
  • REST or SOAP clients can be used to configure authentication. The guide to getting the workflow started can be found here
  • A MySQL Database has to be set up in your local system, for example, the guide on setting up MySQL can be found here.
  • Python has to be set up, on a side-note, this script can be programmed using PHP and Javascript as well.

Once the Prerequisites are met, the following steps have to be taken to complete the transfer of data from Magento to MySQL DB.

  1. Connect to Magento API.
  2. Read the data from the Magento platform.
  3. Use the JSON data configured via the XML file.
  4. Push the data values to MySQL corresponding table DB.

Method 2:  Steps to Load Data from Magento to MySQL using Hevo

With Hevo, bringing data from Magento to MySQL database becomes a cakewalk. Here are the steps: 

  1. Connect your Magento account to Hevo’s platform. Hevo has an in-built Magento integration that connects to your account within minutes.
  2. Select MySQL as your destination integration and start transferring data.

Hevo takes care of automatically mapping all your data to relevant tables in the MySQL table, giving you access to consumption-ready Magento data in real-time.

Limitations of the Manual Approach

  1. Effort intensive: Using custom code to move data from Magento to MySQL database requires you to learn and bring together many different technologies. Given the learning curve involved, your data projects’ timelines can be affected.
  2. Not real-time: The process mentioned above does not assist you in bringing the data in real-time. You would have to develop a cron job and write extra code to transfer the data in real-time and also will need to configure multiple files.
  3. No data transformation: At times, you would encounter use cases where you need to standardize time zones in order to perform efficient analytics. The mentioned approach does not cover that.
  4. Constant monitoring & maintenance: In case there are some changes in the API at Magento’s end, it will result in irretrievable data loss. Hence, this approach requires constant monitoring and maintenance of the systems involved.

Conclusion

MySQL is a great RDBMS that is very versatile and can be used to aggregate structured data and derives useful insights and Magento is a great platform to get set up with an eCommerce platform with industry-standard tools.

Depending on the particular use case and data requirement, you may choose to replicate data from Magento to MySQL using one of the approaches detailed in this article. You may build a custom code-based data pipeline to transfer data from Magento to MySQL.

Sai Surya
Technical Content Writer, Hevo Data

Sai is a seasoned technical writer with over four years of experience, focusing on data integration and analysis. He is also passionate about DevOps and Machine Learning. Sai crafts informative and comprehensive content tailored to solving complex business problems related to data management while exploring the intersections of these emerging fields.

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