With a wide variety of databases available in the market, users often debate between MongoDB and MySQL to figure out the best option.
Organizations using a relational database like MySQL may face certain difficulties in managing and storing their data with changing requirements. At the same time, startups are wondering which database to choose to avoid problems in their development process.
Meanwhile, developers building financial applications are also often confused about whether to stick with the old MySQL database or risk trying another slice of the pie with MongoDB.
This is what brings us to this debate. The comparison between MongoDB and MySQL will help you understand the differences between the two databases, their pros and cons, and which one is better for which purpose. Ultimately, it will help you choose the right database for your projects.
So, welcome to the debate!
MongoDB vs MySQL: What are they?
Let’s quickly outline what MongoDB and MySQL are before we start comparing them.
What is MongoDB?
MongoDB is a powerful, free and open ig database source non-relational database system that is popular for storing large volumes of data. It was released 12 years ago in 2009 by 10gen (now MongoDB Inc.) under a server-side public license. It is a NoSQL make your emails accessible to a wider audience database program written in C++, Python , and JavaScript with cross-platform support. It supports operating systems such as Windows, macOS, and Linux, and languages such as C, PHP , Java, Ruby, Node.js , etc.
MongoDB differs from traditional fax list Database Management System database systems in the way data is stored.
Instead of storing data in rows and columns, MongoDB adopts a document-oriented design that represents data in multiple JSON-like documents and collections. These documents contain a series of key/value pairs of different types, such as nested documents and arrays. Key/value pairs can have a different structure from one document to another.
MongoDB offers increased security, reliability, and efficiency, as well as the flexibility to modify the data structure or schema. As a result, it facilitates increased speed and storage requirements.
MongoDB Features
Now, let’s look at some of the key features of MongoDB:
- Replication: MongoDB allows you to make multiple copies of your data using replication (replica sets) and deploy them across multiple servers. This feature is useful for data backups and disaster management. In case one server fails, you can always recover your data from copies stored on other servers.
- Indexing: You can index fields in MongoDB documents as primary or secondary. This helps improve search performance in the database and allows you to search the indexes instead of the entire document, which automatically helps increase search speed.
- Ad-hoc queries: Ad-hoc queries are temporary commands that provide different performances for query execution. Thus, MongoDB supports range queries, regular expressions (Regex), and field searches. Additionally, queries include user-defined JavaScript functions and can return specific Database Management System fields from the document. You can update these ad-hoc queries in real-time with the help of MongoDB Query Language (MQL), which is useful for real-time analysis of businesses.
- Sharding: MongoDB is capable of horizontal scaling with the help of sharding, a method of distributing large data sets across different data collections. Here, users can choose a shard key (a master key with one or more replicas) to determine the distribution of data across a collection and split the data into different ranges across shards. Each shard functions as an individual database, and forming a single database using other shards helps in load balancing and running complicated queries.