MongoDB Pros and Cons
What is NoSQL?
NoSQL is an approach to database management that can accommodate a wide variety of data models, including key-value, document, columnar, and graph formats. A NoSQL database generally means that it is non-relational, distributed, flexible, and scalable.
What is MongoDB?
MongoDB is an open-source document-oriented database that is designed to store a large scale of data and allows you to work with that data very efficiently. It is categorized under the NoSQL (Not only SQL) database because the storage and retrieval of data in MongoDB are not in the form of tables.
MongoDB is a non-relational document database that provides support for JSON-like storage. The MongoDB database has a flexible data model that enables you to store unstructured data.
When to Use MongoDB
- E-commerce product catalog.
- Blogs and content management.
- Real-time analytics and high-speed logging, caching, and high scalability.
- If you can represent your data in a form of a bunch of documents, MongoDB could be a good choice.
- Maintaining location-based data
- Mobile and social networking sites.
MongoDB Pros and Cons
MongoDB stores most of the data in the RAM. It allows a quicker performance while executing queries.
MongoDB offers a simple query syntax that is much easier to grasp than SQL. It provides an expressive query language that users find helpful during development.
MongoDB’s schema is not predefined. It means that it has a dynamic schematic architecture that works with non-structured data and storage.
Scalability is one of the most important advantages of MongoDB. As seen, MongoDB uses “sharding”, which expands the storage capacity.
Unlike SQL databases that use vertical scalability, sharding allows MongoDB to use horizontal scalability
- Easy Environment and a Quick Set-up
- Technical Support
MongoDB Inc. provides professional support to its clients. If there is any problem, you can directly reach a MongoDB client support system
- Joins not Supported
Joining documents in MongoDB can be a very tedious task cause MongoDB doesn’t support joins like a relational database. Pulling data from several collections requires several queries, which will inevitably lead to messy code and long turn-around times.
- High Memory Usage
MongoDB requires a high amount of storage due to the lack of joins functionalities which lead to the duplication of data, so there is data redundancy. This results in increasing unnecessary usage of memory.
- Limited Data Size and Nesting
MongoDB allows a limited size of only 16 MB for a document. Performance nesting for documents is also limited to only 100 levels
One of the downsides of MongoDB is that it doesn’t support transactions.
Transactions refer to the process of reviewing and eliminating unwanted data. MongoDB uses multi-document ACID (Atomicity, Consistency, Isolation, and Durability) transactions.
- Today very large companies like Google, eBay, and PayPal as well as it is also the first choice of startups looking for a fast solution that is easy to scale in the future.
- There are good advantages and MongoDB also brings out new updates as frequently as possible.
- Understanding the current developments and the market dominance of this easy-to-use database makes us realize that the future scope of MongoDB does show a lot of promise.
- This also shows that the coming decade is a great time to add MongoDB to your resume. Building some basic projects with MongoDB and getting familiar with the essential interview questions might get you started.