Does Magento Use MySQL, PostgreSQL, MongoDB, and Redis?
Magento is a powerful ecommerce platform that offers a wide range of features to online store owners. The software also provides a great level of customization to meet different business requirements.
Magento uses MySQL, a high-performance database system that is ideal for heavy load production systems. This allows e-businesses to host and manage large inventories on their websites without compromising performance.
MySQL
Magento uses MySQL, a relational database management system that’s also widely used by industry leaders such as Amazon, Netflix, and Uber. It has an open source license and is incredibly flexible for many different use cases.
It’s the most popular option for storing data, and it’s easy to get started with. It also comes with tons of documentation and community support.
Another great thing about MySQL is that it’s very fast, even with large data sets. It can also support multiple storage engines and partitioning to improve performance.
It also supports the client-server model, which means that a user will send a request to the server for the data they need. Using SQL, the programming language, the client communicates with the server and requests the data it needs.
PostgreSQL
PostgreSQL is a free and open source relational database management system. It was created by the PostgreSQL Global Development Group, a worldwide team of volunteers.
It emphasizes extensibility, SQL compliance and reliability. It can grow in size, handle high transactions and maintain data integrity.
Moreover, it supports data types and domains, a feature that makes PostgreSQL particularly useful for organizations with specific needs. For example, a logistics company might want to store geographical information system (GIS) data, such as coordinates of the trucks making deliveries.
Extensibility is a great benefit for PostgreSQL users, as it allows them to easily create their own data types, functions, aggregates and operators. It also supports user-defined functions (UDFs) that can be loaded dynamically and modified without interrupting availability or requiring core database engine changes.
MongoDB
MongoDB is a NoSQL database that uses a schema-less format for data storage and a BSON format for communication. It has been designed to handle large amounts of data and scale-out quickly.
A document is the basic unit of data in MongoDB, consisting of key-value pairs. Each document can have a different number of fields and content. It also has a 24-digit unique identifier called an _id.
Collections are a grouping of documents that can have different schemas, as in an RDBMS table. As a result, they can be used for different purposes.
Indexes are used in MongoDB to help improve performance by filtering data and reducing the time it takes to find a specific entry. These indexes can be used on any field or subfield of the documents in a collection.
In addition, MongoDB uses sharding to distribute data across multiple servers and balance the load. This helps maintain high availability and data integrity.
Redis
Magento uses Redis as a robust cache backend to increase the speed of both the frontend and backend of your eCommerce shop. This can help you to keep a stable performance in high traffic situations.
Web pages can be accessed much faster and improve the user experience on your site, which increases conversion rates. Database query results caching, persistent session caching and object caching are popular use cases for Redis.
In-memory data storage is a key feature that makes Redis a good choice for caching applications. It has a lower latency and higher throughput than disk-based caching systems like memcached, while still offering data persistence if needed.
Redis also supports bitmaps for efficiently storing True and False values as 1 or 0. This can be helpful in many use cases, such as displaying the status of someone’s online/offline status, a download progress, or an online course. In addition, it can be used for Pub/Sub messaging, as it supports channels and groups.