MongoDB is a document-oriented NoSQL database used for high volume data storage. Instead of using tables and rows as in the traditional relational databases, MongoDB makes use of collections and documents. Documents consist of key-value pairs which are the basic unit of data in MongoDB. Collections contain sets of documents and function which is the equivalent of relational database tables. MongoDB is a database which came into light around the mid-2000s.

Each database contains collections which in turn contains documents. Each document can be different with a varying number of fields. The size and content of each document can be different from each other.

The document structure is more in line with how developers construct their classes and objects in their respective programming languages. Developers will often say that their classes are not rows and columns but have a clear structure with key-value pairs.

The rows (or documents as called in MongoDB) doesn’t need to have a schema defined beforehand. Instead, the fields can be created on the fly.

The data model available within MongoDB allows you to represent hierarchical relationships, to store arrays, and other more complex structures more easily.

Scalability – The MongoDB environments are very scalable. Companies across the world have defined clusters with some of them running 100+ nodes with around millions of documents within the database.

Below are the few of the reasons as to why one should start using MongoDB:

Document-oriented – Since MongoDB is a NoSQL type database, instead of having data in a relational type format, it stores the data in documents. This makes MongoDB very flexible and adaptable to real business world situation and requirements.

Ad hoc queries – MongoDB supports searching by field, range queries, and regular expression searches. Queries can be made to return specific fields within documents.

Indexing – Indexes can be created to improve the performance of searches within MongoDB. Any field in a MongoDB document can be indexed.

Replication – MongoDB can provide high availability with replica sets. A replica set consists of two or more mongo DB instances. Each replica set member may act in the role of the primary or secondary replica at any time. The primary replica is the main server which interacts with the client and performs all the read/write operations. The Secondary replicas maintain a copy of the data of the primary using built-in replication. When a primary replica fails, the replica set automatically switches over to the secondary and then it becomes the primary server.

Load balancing – MongoDB uses the concept of sharding to scale horizontally by splitting data across multiple MongoDB instances. MongoDB can run over multiple servers, balancing the load and/or duplicating data to keep the system up and running in case of hardware failure.

There are many great features inbuilt with MongoDB. As compared to RDBMS, so let’s discuss MongoDB Benefits.

We know that MongoDB is a schema-less database. That means we can have any type of data in a separate document. This thing gives us flexibility and a freedom to store data of different types.

We can store a large data by distributing it to several servers connected to the application. If a server cannot handle such a  big data then there will be no failure condition. The term we can use here is “auto-sharding”.

MongoDB is a document-oriented database. It is easy to access documents by indexing. Hence, it provides fast query response. The speed of MongoDB is 100 times faster than the relational database.

MongoDB has features like replication and gridfs. These features help to increase data availability in MongoDB. Hence the performance is very high.

A great advantage of MongoDB is that it is a horizontally scalable database. When you have to handle a large data, you can distribute it to several machines.

MongoDB has a very advanced feature for ad hoc queries. This is why we don’t need to worry about fore coming queries coming in the future.

It is easier to setup MongoDB then RDBMS. It also provides JavaScript client for queries.

MongoDB Inc. provides professional support to its clients. If there is any problem, you can directly reach MongoDB client support system.

Nothing is fully complete or perfect. In spite of having so many advantages, MongoDB to has some limitations. Let’s discuss some of them here.

MongoDB doesn’t support joins like a relational database. Yet one can use joins functionality by adding by coding it manually. But it may slow execution and affect performance.

MongoDB stores key names for each value pairs. Also, due to no functionality of joins, there is data redundancy. This results in increasing unnecessary usage of memory.

You can have document size, not more than 16MB.

You cannot perform nesting of documents for more than 100 levels.

This was all about Advantages Of MongoDB Tutorial. Hope you like our explanation.

MongoDB lacks some features of relational database like transaction or join, but it gain the ability to scale horizontal easily and flexible schema that easy to manipulate with JSON like data format.

MongoDB is a powerful tool if used properly, but its not a one size fits all solution. Adopt MongoDB without carefully scrutinize the advantages and disadvantages, and hope it will magically solve all your scale issues, is over optimistic. And you should not throw away the traditional SQL database, MongoDB is not supposed to replace them, its more of a complement. Put it simple: use the right tool for the right job.

In this blog post , we will know about introduction to MongoDB ,its features why we use it .we will also learn about its advantages and disadvantages. 

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