Choosing between various available databases has always been a stressful situation among organizations. It’s a decision that will determine whether the project will run smoothly or the team will face technical difficulties. Indeed, a database should be chosen with respect to your business requirements. And this is where you need to understand the technical features of each database. This article is a perfect guide if you are looking for technical characteristics and a comparison between MongoDB and MySQL.
MongoDB and MySQL are the two most competitive Database Management Systems (DBMS) used for web and mobile applications. Even if both databases have similar usage, they differ in various aspects. MySQL is a table-structured system, whereas MongoDB is a NoSQL document-based system. This article will help you make a detailed comparison between MySQL vs. MongoDB, so you can make the right choice.
MySQL CDC is a crucial aspect to consider when evaluating MySQL for your project. For a comprehensive understanding of MySQL CDC and how it impacts data management and synchronization, explore our dedicated guide on the topic linked above.
What is MongoDB?
MongoDB, developed by MongoDB Inc., is a widely used Not Only SQL (NoSQL) database management system that houses data in the form of documents. In MongoDB, the document stores information in the form of key-value pairs and can be of different file types like JSON, BSON, and XML. To handle such large unstructured data, MongoDB supports sharding, replication, load balancing, indexing, and many more features.
MongoDB supports multiple operating systems, such as MacOS, Windows, and Linux. It is available in two editions: MongoDB Atlas and Enterprise Advanced.
Let’s understand some of the key features in detail:
Horizontal scaling: MongoDB supports horizontal scaling through sharding. Horizontal scaling allows you to divide the dataset and workload over multiple servers. You can add more servers whenever required. If the capacity of a single machine is not high, it might impact the overall speed and performance of data. In horizontal scaling, each machine handles a subset of the overall load. Diving the workload provides better efficiency, reducing the computation load on one system.
Replication is another key feature in MongoDB that lets you create copies of your database. You can deploy them on various servers. In case you lose any database server, replication provides fault tolerance and data availability as it creates multiple copies of your data on different servers. This feature is helpful in data recovery and disaster management.