#MongoDB #Database #SystemDesign
MongoDB was initially released approximately 11 years ago on the 11th of February, 2009 and has since then achieved the position of the leading NoSQL database. The company MongoDB Inc. (New York, United States) maintains and manages the development of MongoDB. They also provide the commercial version of MongoDB which includes support. The source code of MongoDB is available on Github.
"MongoDB is a high volume data storage database that works in a document-oriented NoSQL form. It is an open-source database management system (DBMS). With the help of it, you would be able to manage different types of databases".
MongoDB is a document-oriented database which stores data in JSON-like documents with dynamic schema. It means you can store your records without worrying about the data structure such as the number of fields or types of fields to store values. MongoDB documents are similar to JSON objects.
Who are Using MongoDB?
Although MongoDB is widely used all over the world, if we have a look at some of the most popular companies that use MongoDB are as follows
Why is MongoDB best?
There are several reasons, which makes MongoDB the best of it’s kind, and here are some of those reasons
1. NoSQL :
The first reason that makes MongoDB the best is that in other database management systems, you must have noticed that they offer you database system managed in tables and rows, but with MongoDB, you would be provided fields with the help of NoSQL. With the help of these fields, you would be able to add several different types of data within these fields. You can even manage to get the same kind of data into single fields for better and easy access.
2. Sharding :
The major problem with any web/mobile application is scaling. To overcome this MongoDB has added sharding feature. It is a method in which, data is being distributed across multiple machines. Horizontal scalability is being provided with the sharding.
3. Easy to learn :
The third reason that makes it the best is that it is easy to learn as if you are new to it, then you would be able to learn it quickly with the help of a quick start guide.
4. BSON format :
It is JSON-like storage a format. BSON stands for Binary JSON. BSON is binary-encoded serialization of JSON like documents and MongoDB uses it, when to stores documents in collections. We can add data types like date and binary (JSON doesn’t support).
5. Offers shards :
MongoDB offers shards with the help of which you would be able to store larger files in the form of 256 KB small shards.
6. Indexing :
To improve the performance of searches indexes are being created. We can index any field in MongoDB document either primary or secondary.
7. Capped Collections :
MongoDB supports capped collection, as it is having fixed size of collections in it. It maintains the insertion order. Once the limit is reached it starts behaving like a circular queue.
8. Replication :
Replication is being provided by distributing data across different machines. It can have one primary node and more than one secondary nodes in it (replica set). This set acts like a master-slave. Here, a master can perform read and write and a slave copies data from a master as a backup only for a read operation.
9. High performance :
The biggest reason because of which MongoDB is so famous, and it is its performance. Every user of MongoDB just loves its performance, and it does not lag while handling more massive datasets.
Here is the list of top benefits of using MongoDB
The overall setup and installation process is so simple that if you are new to DBMS. Even then, you would be able to operate it efficiently with the help of a quick start guide.
MongoDB can fast and easy process the data. But this is valid up to your data is in document format. We can say that it’s speed automatically increases as it is handling a large amount of unstructured data within seconds which feels like magic.
MongoDB offers schema-free migrations, and hence, no compatibility issues arise with it.
It does not require data structures, that are unified in nature across all the objects that are being used. This makes it easier to use MongoDB. With the help of dynamic schema, it is very easy to use MongoDB.
When you are designing a database at that time, you face several queries, so with the help of Ad-Hoc queries, You would be able to know what type of queries you can face with that dataset in the future and hence can get rid of it.
As you all know that MongoDB uses NoSQL queries with the help of which you would be able to get faster response and easy access.
In the case of large datasets, when there is a chance that the server can be disconnected at that time, the system itself manages everything with the help of auto sharding and auto-failover.
If you ever face any technical issues with MongoDB, then you can easily access professional technical support for your help.
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