Introduction
Databases with dynamic functionality are essential for enterprises and brands with expanding data requirements. Which database is best for you can be quite subjective, especially when your needs are continuously changing. When it comes to Database Management, the choice between Redis and MongoDB can be difficult.

This article provides an in-depth analysis of both Databases, their features, and use cases, along with various points on MongoDB vs Redis.
What is MongoDB?
Mongodb is an open-source NoSQL database that does not accept table-formatted input values. It instead accepts values in BSON format. It is a document-oriented database, which implies that information is kept in collections and documents. MongoDB also eliminates some of the problems associated with traditional RDBMS.
Data replication, partitioning, and time-consuming writing operations are common problems for developers. Such criteria can be met with the help of a lightweight, adaptable, and precise database solution. MongoDB is the ideal database solution for addressing these issues. MongoDB supports the storage and manipulation of massive amounts of data by storing documents in a key-value pair format and collections in documents and functions.
Features of MongoDB

MongoDB has numerous unique and innovative features that set it apart from other Databases. Among these characteristics are:
-
High Performance: MongoDB provides exceptional performance in all of its operations. It avoids carrying out redundant input/output processes, as other relational databases do. Because MongoDB's indexing process is substantially faster, select queries produce faster returns
-
Scalability: MongoDB's 'Sharding' feature allows for horizontal data scaling. Sharding is the process of distributing data over multiple servers. Massive amounts of data are evenly divided over numerous data pieces maintained by the master node
- Data Replication & Higher Availability: When there is a hardware failure, the biggest issue is data loss or restarting the complete arrangement to store data again. MongoDB includes data replication features that store copies of data on several data servers
When to use MongoDB?
-
MongoDB can be useful throughout the design and early implementation phases when quick changes to our schema are required
-
MongoDB's JSON-like document structure enables rapid prototyping, simple integrations with front-end channels, and hackathons. It can be beneficial for junior teams who do not wish to cope with the complexity of an RDBMS
-
MongoDB is capable of serving millions of users, processing petabytes of data, and supporting hundreds of thousands of operations per second, making it an excellent choice for supporting mobile apps
- MongoDB can store and serve rich information such as text, audio, and video. Using MongoDB GridFS, we can simply and efficiently store files greater than 16MB