> For the complete documentation index, see [llms.txt](https://functional.gitbook.io/database_comparison_report/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://functional.gitbook.io/database_comparison_report/mongo-db/pros-of-mongo-db.md).

# Pros of Mongo DB

**Simple data access, storage, input, and retrieval.** One of the benefits of MongoDB derived from its NoSQL nature is the fast and easy data operation. That is to say, data can be entered, stored, and withdrawn from the database quickly and without any additional confirmation. As with any other non-relational database, it places emphasis on RAM usage, so the records can be manipulated really fast and without any consequences to data integrity.

**Easy compatibility with other data models.** MongoDB is easily combined with different database management systems, both SQL and NoSQL types. Besides that, it has pluggable storage engine APIs. To make a long story short, this option allows third parties to build their own data storage engines for MongoDB. From a commercial point of view, it creates extra value for business software.

**Horizontally scalable solution.** Scalability – where data is spread out across a distributed network of manageable servers – is a facet of MongoDB’s fundamental nature. It becomes even more important for enterprises operating big data applications. Additionally, the database can allocate data across a cluster of machines. How can that help you? The data is distributed faster and equally, free of bulkiness. As it leads to faster data processing, the application performance is accelerated too.