5 Advantages and Disadvantages of MongoDB | Drawbacks & Benefits of MongoDB

 

MongoDB is a document-based, non-relational database that supports massive amounts of data storage.
In MongoDB, you can do Create, Read, Update, and Delete (CRUD) actions.

This database uses NoSQL. It stores data using graphs and key-value pairs rather than tables. The binary encoding format known as BSON is used to store all of the data in MongoDB. Big businesses already use MongoDB as a client. 

Because MongoDB provides agile ways for developing a variety of commercial and internet apps, developers like it. In addition, MongoDB is used by various sectors of the economy including as finance, gaming, e-commerce, and logistics.

But it's important to note that MongoDB is a software tool. As such, it has both benefits and drawbacks. To determine if this database is the best choice for your company, it is essential to weigh the advantages and disadvantages.

I'll be going over the 5 Advantages and Disadvantages of MongoDB | Drawbacks & Benefits of MongoDB in this post. You will learn about the pros and cons of MongoDB from this post.


Now let's get started,

Advantages of MongoDB

1. Speed

MongoDB provides significantly greater performance levels in terms of speed. It performs over 100 times better than a relational database.


Rather than being stored on a hard drive, MongoDB stores its data internally in RAM. As a result, information is returned more quickly in response to inquiries. But the system needs to be installed with enough RAM in order to benefit from this.


2. Scalability

Sharding is a unique mechanism used by MongoDB. This method enables horizontal scaling for MongoDB. 

 

A vast amount of data is distributed among several computer clusters. eventually expanding the amount of storage.


3. Availability

MongoDB has features like gridFS and replication because it is document-based. The availability of data is effectively increased by all these qualities, leading to improved performance.


4. Flexibility

MongoDB is schema-free. Dynamic schematic architecture is employed. This allows us the freedom to include data—both structured and unstructured—into a different text. 

 

MongoDB's adaptability enables it to adapt to changes in your business's real-world data requirements.


5. Customer Support

MongoDB offers a variety of channels for customer help. Online guides, community forums, and documentation are a few of them. 

 

Additionally, MongoDB has a specialized customer support staff. Professionals in this domain are available to assist you at any moment in case you encounter difficulties.

Disadvantages of MongoDB

1. Memory Consumption

MongoDB is unable to handle duplicate data and joins. Because joins are not supported, there is data redundancy. This eventually results in excessive memory usage.


2. Joins Functionality

One feature that a relational database does not support is joining documents. This is so since everything is already included in the document. 

 

By generating many queries, manual joining is still an option. The code becomes messy as a result of this procedure, which also takes a long time.


3. Nesting Limitations

Nesting is only permitted in accordance with the levels in MongoDB. Document nesting is permitted up to 100 layers and 16 MB in size.


4. Indexing Issues

Only with the right indexes can MongoDB fulfill its performance goals. In instances when the indexes are not appropriately utilized, performance will suffer. MongoDB will therefore operate more slowly.


5. Data Duplication

There is a lot of data duplication in MongoDB. The relations are not clearly established when this happens. 

 

As a result, handling the duplicate data can be difficult. Furthermore, data corruption is a possibility because it does not comply with ACID standards.