Magento is an eCommerce platform built on open source technology that provides online merchants with a flexible shopping cart system, as well as control over the look, content, and functionality of their online store. Magento offers powerful marketing, search engine optimization, and catalog-management tools.

PostgreSQL is a robust, open-source object-relational database system that has a strong reputation for reliability, feature robustness, and performance. It has been actively developed for over 30 years.

This article explains how to connect Magento to PostgreSQL. It also gives an overview of Magento and PostgreSQL.

What is Magento?

magento to postgresql: magento logo
Image Source

Magento is a PHP-based open-source e-commerce platform. It also makes use of other PHP frameworks like Laminas and Symfony. The Open Software License (OSL) v3.0 governs the distribution of Magento source code. Adobe Inc bought Magento for $1.68 billion in May 2018.

Magento allows users to customize the appearance, functionality, and content of their online store without sacrificing the shopping experience while providing several useful tools and features to its users. Marketing, search engine optimization, and catalog-management tools are all included.

Overall, the platform is adaptable to any store size. Magento offers both a free Magento Open Source and a feature-rich Magento Commerce platform, so it can grow and evolve with your business, whether you have a few customers or a million. As a company grows, it may be necessary to switch platforms.

However, Magento makes it simple to stay in one place and grow. Customers can also choose from a variety of plug-ins and themes to suit whatever they want to do with their website and how they want it to look. These can also improve customer relationships and enhance the customer experience.

The platform’s creators made it simple to use for regular people. This implies that you are not required to have any technical or developmental experience.

The system, on the other hand, is dependable. The system becomes more complex as you grow because it can handle millions of customers.

In most cases, businesses will need to hire outside assistance. However, this is only true when a company begins to integrate multiple systems into its website.

The first version of Magento was released in 2007. Magento was acquired by Adobe in May of this year, which was the most recent development. 

Solve your data replication problems with Hevo’s reliable, no-code, automated pipelines with 150+ connectors.
Get your free trial right away!

Key Features of Magento

  • Open source – High Customization: Magento (Adobe Commerce) not only offers flexible, scalable eCommerce solutions but also gives you the flexibility to customize. Also, it provides you the possibility to extend your platform to create unique and differentiated branded experiences. This platform can adapt well to change and has the potential to be modified to meet the requirements of shop owners.
  • Freedom to Choose the Hosting Services: With Magento (Adobe Commerce), eCommerce retailers can freely select the hosted platform of their choice without sticking with one hosting anymore. This provides great freedom for all online shopping businesses to have their files and be selective with different hosting companies.
  • Responsive Mobile: Magento (Adobe Commerce) is good for keeping the standards of mobile web design. Both the free community edition and the enterprise version of Magento (Adobe Commerce) incorporate the HTML5 platform to maximize the mobile shopping experience. Consequently, your eCommerce store will always be optimized. Magento mobile app will establish a fulfilling brand experience for consumers using their smartphones and mobile devices to connect anytime and anywhere.
  • Easy Multi-Platform Integration: You can easily integrate third-party add-ons and modules to your Magento store. This provider allows any modification without any restriction. The platform also allows shop owners to add Google Analytics and other such third-party integrations (like eBay, Paypal, Mail Chimp, etc.) to their site to aid in data analysis. Your job is just to find out the best gadgets and “plug” in your store right away!
  • Better Speed: Referring to page loading time, Magento (Adobe Commerce) is again the winner. Magento (Adobe Commerce) has made a mission to make the fastest eCommerce stores in the world and it’s known for its power to produce a fast-loading web page as well. And you probably already know that slow-loading pages will “sink” very fast. In many cases, the loss from the slow loading page can be seen immediately, which sometimes leads to unintended consequences. Magento (Adobe Commerce) can surprise you with the performance of the platform itself due to the ability to customize as well as the trust it brings. Utilizing a PWA storefront can speed up your website even further and delight your customers.
  • SEO Friendly: Magento (Adobe Commerce) offers an SEO-friendly content management system – Magento SEO. It contains lots of SEO features like:
    • Search friendly URLs
    • Sitemaps
    • Layered navigation
    • Product Title
    • Keywords
    • Meta tags
    • Meta descriptions

In regards to SEO, Magento e-commerce is up to date with the latest SEO ranking factors. It provides great URL structure and meta-implementation options required for SEO. Magento (Adobe Commerce) also includes analytics for tracking web visitors. This is one of the most prominent features of Magento (Adobe Commerce).

What is PostgreSQL?

PostgreSQL is an open-source advanced model of the relational database system. PostgreSQL is a dependable database that has been developed by the open-source community for more than two decades.

Among the existing Open Source DBMS, only PostgreSQL offers enterprise-class performance and functions, as well as limitless growth opportunities. It is a major database used by both large organizations and startups to support their applications and products. It is generally utilized as a powerful back-end database that supports a wide range of dynamic websites and web applications.

Postgres provides querying and windowing capabilities. It supports relational and as well as non-relational querying. Because of its adaptability, it can be used as both a transactional database and a data warehouse for analytics.

 PostgreSQL assists developers in creating the most complex applications, running administrative tasks, and creating integral environments. Many web applications, as well as mobile and analytics apps, use PostgreSQL as their primary database.

PostgreSQL was designed to allow the addition of new capabilities and functionality. You can create your data types, index types, functional languages, and other features in PostgreSQL.If you don’t like something about the system, you can always create a custom plugin to make it better, such as adding a new optimizer.

Key Features of PostgreSQL

  • Querying and Programming Language Support: PostgreSQL supports both SQL and JSON querying. The most prominent programming languages supported by PostgreSQL are Python, Java, C#, C/C+, Ruby, JavaScript, Perl, Go, and Tcl. 
  • Table Inheritance: PostgreSQL supports a strong object-relational feature called inheritance. This enables a table to inherit part of its column properties from one or more other tables through inheritance, forming a parent-child connection. The child table inherits the same columns and constraints as its parent table (or tables), as well as its defined columns.
  • Multi-version Concurrency Control (MVCC): Unlike most other database systems, which employ locks to regulate concurrency, Postgres uses a multi-version architecture model to maintain data consistency. This implies that each transaction in a database sees a snapshot of data from a previous transaction, regardless of the current state of the underlying data. This protects the transaction from viewing inconsistent data that could be caused by concurrent transaction updates on the same data rows, providing transaction isolation for each database session.
  • Foreign Key Referential Integrity: PostgreSQL foreign key concept is based on the first table combination of columns with primary key values from the second table. It is also known as constraints or referential integrity constraints. It is specified that the values of the foreign key constraints column, which was corresponding with the actual values of the primary key column from another table.
  • Asynchronous Replication: Asynchronous replication in  PostgreSQL offers a reliable and easy way to distribute data and make your setups more failsafe. In the event of server failure and disaster, Administrators can create read-only replicas of a primary server easily.
Explore These Methods to Connect Magento and PostgreSQL

Magento offers a comprehensive set of features in a well-organized format, and its flexible pricing rules attract a large number of customers. It also allows you to promote products and services across multiple domains by using multiple websites. Also, PostgreSQL is an object-relational database that supports complex structures and a large number of built-in and user-defined data types. It has a large data capacity and is well-known for its data integrity. When integrated, moving data from Magento to PostgreSQL could solve some of the biggest data problems for businesses. In this article, we have described two methods to achieve this:

Method 1: Using Hevo Data to Move Data from Magento to PostgreSQL

Hevo Data, an Automated Data Pipeline, provides you a hassle-free solution to connect Magento to PostgreSQL within minutes with an easy-to-use no-code interface. Hevo is fully managed and completely automates the process of not only loading data from Magento to PostgreSQL but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code.


Method 2: Using Custom Code to Move Data from Magento to PostgreSQL

This method would be time-consuming and somewhat tedious to implement. Users will have to write custom codes to enable two processes, streaming data from Magento to PostgreSQL. This method is suitable for users with a technical background.

Connecting Magneto to PostgreSQL

Method 1: Using Hevo Data to Move Data from Magento to PostgreSQL

Hevo provides an Automated No-code Data Pipeline that helps you move your Magento swiftly to BigQuery. Hevo is fully-managed and completely automates the process of not only loading data from your 100+ data sources(including 40+ free sources)but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss.

Using Hevo Data, you can connect Magento to PostgreSQL in the following 2 steps:

  • Step 1: Configuring Magento as a Source. In the Configure your Magento via MySQL Source page, make the following changes:
  • Step 2: Configuring PostgreSQL as a Destination. Complete Connect Magento to PostgreSQL by providing your PostgreSQL database credentials such as your authorized Username and Password, along with information about your Host IP Address and Port Number value. You will also need to provide a name for your database and a unique name for this destination.

Here are more reasons to try Hevo:

  • Smooth Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to your schema in the desired Data Warehouse.
  • Exceptional Data Transformations: Best-in-class & Native Support for Complex Data Transformation at fingertips. Code & No-code Flexibility is designed for everyone.
  • Quick Setup: Hevo with its automated features, can be set up in minimal time. Moreover, with its simple and interactive UI, it is extremely easy for new customers to work on and perform operations.
  • Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
  • Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.

Try Hevo Today!


Method 2: Using Custom Code to Move Data from Magento to PostgreSQL

To manually connect Magento to PostgreSQL, you’ll need to do the following:

Magento to PostgreSQL: Retrieve the Magento BI Public Key

This is the first step to manually connecting Magento to PostgreSQL.The Magento BI Linux user is authorized using the public key. The user will then be created, and the key will be imported.

  • Step 1: Click the Add a Data Source button under Manage Data > Connections.
  • Step 2: Select PostgreSQL from the drop-down menu.
  • Step 3: Toggle the Encrypted button to Yes once the PostgreSQL credentials page has opened. This will bring up the SSH configuration form.
  • Step 4: This form’s public key can be found beneath it.

Magento to PostgreSQL: Allow access to the Magento BI IP Address

Your firewall must be configured to allow access from our IP address for the connection to work. It’s, but the PostgreSQL credentials page lists it as well.

Magento to PostgreSQL: Create a Linux User for Magento BI

It doesn’t matter if this is a primary or secondary machine, as long as it has real-time (or frequently updated) data. You can limit this user in any way you want as long as it has access to the PostgreSQL server.

  • Step 1: Run the commands below as root on your Linux server to create the new user:
 adduser rjmetric -p<password>
        mkdir /home/rjmetric
        mkdir /home/rjmetric/.ssh
  • Step 2: You must import the key into authorized keys to ensure the user has access to the database. In the authorized keys file, paste the entire key as follows: 
 touch /home/rjmetric/.ssh/authorized_keys
     "<PASTE KEY HERE>" >> /home/rjmetric/.ssh/authorized_keys
  • Step 3: To complete the user’s creation, change the permissions on the /home/rjmetric directory to allow SSH access:
chown -R rjmetric:rjmetric /home/rjmetric
        chmod -R 700 /home/rjmetric/.ssh

Only certain users will have server access if the sshd config file associated with the server is not set to the default option, which will prevent a successful connection to Magento BI. In these cases, a command like AllowUsers must be used to grant the rjmetric user access to the server.

Magento to PostgreSQL: Create a Postgres User for Magento BI

Although your company may have its procedures, the simplest way to create this user is to run the following query while logged into Postgres as a user with the right to grant privileges. The user should also be the owner of the schema to which Magento BI has access.

 GRANT CONNECT ON DATABASE <database name> TO rjmetric WITH PASSWORD <secure password>;GRANT USAGE ON SCHEMA <schema name> TO rjmetric;GRANT SELECT ON ALL TABLES IN SCHEMA <schema name> TO rjmetric;ALTER DEFAULT PRIVILEGES IN SCHEMA <schema name> GRANT SELECT ON TABLES TO rjmetric;

** should be replaced with a secure password that is not the same as the SSH password. Also, make sure that ** and ** in your database are replaced with the appropriate names.

Repeat this procedure as needed if you want to connect multiple databases or schemas.

Magento to PostgreSQL: Enter the Connection and User Info Into Magento BI

Finally, we must enter the connection and user information into Magento BI. If you don’t see the PostgreSQL icon, go to Manage Data > Connections and click the Add a Data Source button. Make sure the Encrypted button is set to Yes.

Starting with the Database Connection section, fill in the following information on this page:

  • Username: The username for RJMetrics Postgres (should be rjmetric)
  • Password: The password for RJMetrics Postgres.
  • Port: PostgreSQL port on your server (5432 by default)
  • Host:

Under “SSH Connection,” make the following changes:

  • Username: The IP address or hostname of the server we’ll SSH into. Remote Address: Our SSH username and password (should be rjmetric)
  • SSH Port: Your server’s SSH port (22 by default)

To finish the setup, click the Save & Test button to connect Magento to PostgreSQL.


This blog discusses methods for Magento to PostgreSQL Integration. In addition to that, it also gives a brief introduction to PostgreSQL and Magento.

visit our website to explore hevo

Hevo Data, a No-code Data Pipeline provides you with a consistent and reliable solution to manage data transfer between a variety of sources and a wide variety of Desired Destinations, with a few clicks. Hevo Data with its strong integration with 100+ sources (including 40+ free sources) allows you to not only export data from your desired data sources & load it to the destination of your choice, but also transform & enrich your data to make it analysis-ready so that you can focus on your key business needs and perform insightful analysis using BI tools.

Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand. You can also have a look at the unbeatable pricing that will help you choose the right plan for your business needs.

No-code Data Pipeline for PostgreSQL