MONGO DB

MongoDB is a good choice for an MVP application. For a startup, it is important to appear on the market quickly to start getting information about users interested in the product and develop it. To do this, MVP applications are launched with a minimum of features. They should work quickly and stably, but at the same time, they should be able to tolerate even major changes within the structure and scale. With Mongo, you don't have to waste time on strict document formatting and avoid the problems associated with it.

MongoDB is the most popular non-commercial NoSQL database. Data in it is stored not in strictly linked tables, but in JSON documents with information that does not necessarily have to have the same structure. The system stores data without a clear hierarchy and allows you to quickly access the information you need, and most importantly, group it in the way you need for your project. In MySQL and other relational databases, any non-standard solutions have to be designed manually, which takes longer and can have a significant number of errors. With Mongo, it's easy to record and store events and operational data. It doesn't matter if you receive information from sensors or comments and ratings from visitors, or if you store unique data from thousands of users - these are all cases where using mongodb is beneficial.

Instead of the classical SQL query language, MongoDB uses CRUD, which makes it easier to build simple queries. Moreover, its syntax is similar to the JavaScript language familiar to web application developers. To work with complex queries, developers will have a special interface that supports a large set of functions. The built-in Compass tool helps to find the necessary data faster and suggests how to solve the problem.

In the case of mongodb, the benefits start with the ability to increase the number of users of the program without limit. It doesn't matter if you need to transfer all documents with certain data to another server or just a part of your database - with Mongo, this is available out of the box and doesn't require setting up complex plugins. That's why it's used in games and startups - if the project takes off, you'll need to scale it quickly, and with Mongo, it's the easiest way to do it. The ability to freely increase the number of nodes in the database, which is partially achieved by reducing performance - the application will use more resources than MySQL and Postgres to solve the same tasks.

NoSQL databases and Mongo in particular always win in terms of functionality over relational databases because they were originally developed to solve specific problems with this data model, not as a universal tool. APIs, ACID transactions, and sophisticated search systems are just a small part of the features that will be immediately available to your developers, rather than requiring them to write their own solutions. Analytics in MongoDB is also available out of the box. BI Connector allows you to add your data from Mongo to any business intelligence tool that uses the MySQL protocol. This way, you can get complete information about the data you are interested in and the relationships between them, regardless of how and where it is stored. Users of MongoDB Atlas, Mongo's proprietary cloud storage, also have access to built-in analytics tools that can visualize data in real time and more.