MongoDB is one of the widely used NoSQL databases across the globe. It uses a flexible schema approach that allows developers to create highly scalable internet applications. Compared to SQL, MongoDB is faster. No wonder it is a preferred database option for a MERN or MEAN stack development agency.
If you look at the popular tech stacks like MEAN, MERN, and MEVN, MongoDB makes an essential element. It is a modern-day database program because it perfectly meets all needs.
To explain MongoDB in simple words, it is an object-oriented, straightforward, dynamic, and scalable NoSQL database. But how does the NoSQL document store model benefit a MEAN stack development agency?
Instead of storing the data in the columns and rows of a conventional relational database, this model saves data objects as separate documents inside a collection. As a result, the data store offers high performance, high availability, and automatic scaling. MongoDB is easy to set up and use. It is another reason this database has marked its place in full-stack development.
In addition, MongoDB uses JSON or BSON documents to store data. Its distributions work well with Linux, Windows, Mac OS X, and Solaris.
Given its outstanding features, MongoDB is no different from any other technology. That means it has a fair share of both pros and cons. Whether you are a business owner or a MEAN stack development company in the USA, you should know the benefits and downsides of MongoDB.
Top MongoDB pros and cons every MEAN stack development agency must know
The Advantages of MongoDB
Unlike other SQL databases, MongoDB has several excellent in-built features. We will discuss some of them in this post.
MongoDB is a database that is schema-less. It means that each document can store different types of data. Thus, it provides a MEAN stack development agency with the flexibility to store various types of data without a hassle.
We just learned that MongoDB allows us to store large amounts of data. But how does it work? It divides the data into numerous servers linked to the application. The best thing is even if the server fails to process a lot of data, you will not face a failing situation. We call this auto-sharding.
Since MongoDB is a document-oriented database, a MEAN stack development company can access documents using indexing. As a result, it ensures a speedy response to queries. If we compare MongoDB with other relational databases, it is 100 times faster in terms of speed.
* High availability
Replication and gridFS are the primary functionalities of MongoDB. These aspects contribute to increased data availability on MongoDB. The higher the availability, the better will be the performance.
* Increased scalability
One feature that makes MongoDB distinct from other databases is horizontally scalable. That is why MEAN stack development companies rely on this for data storage solutions. For example, developers can disperse a massive amount of data among numerous machines while handling it.
* Ad-hoc Query Assistance
MongoDB also has sophisticated ad hoc query functionality. Thanks to this cutting-edge feature, MEAN stack developers do not have to worry about upcoming requests. It has in-built query support.
* Ultimate technical support
Are you wondering whether or not MongoDB offers professional customer service? Then, do not worry. It provides comprehensive technical support to its clients. You can directly contact the MongoDB client support system whenever a problem occurs.
Disadvantages of MongoDB
Well, no tool or technology is flawless. The same applies to MongoDB. Despite countless benefits, it has some drawbacks. Here, let us talk about a few of them.
* No support for Joins
Unlike a relational database, MongoDB lacks support for Joins. However, a MEAN stack development agency can use the Joins feature manually by adding it to the code. But, it might hinder performance and delay execution.
* Intensive memory use
When it comes to using MongoDB, you can store the names of each value pair. Additionally, data redundancy exists because of a lack of Joins functionality. It results in excessive use of memory.
* Insufficient data size and nesting
Another challenge a MEAN stack development agency may face with MongoDB is restrictive data size and nesting. For example, the document size cannot be more than 16 MB. Plus, document nesting of more than 100 levels is not permitted.
Hopefully, it is clear that nothing can be 100% perfect, especially online tools and technologies. While MongoDB has several disadvantages, it is still one of the top databases of current times. It is because the benefits outweigh the limitations.
If you are searching for an agency offering the best MEAN stack development in the USA, SoftProdigy is your safest bet. We have been delivering quality full-stack development services for years.