Why you should learn MongoDB in 2019?

What Is MongoDB?

MongoDB is different from traditional relational databases. It is a document-oriented, NoSQL database. MongoDB stores data in JSON-like documents. This allows users to work with different types of data. One of the best things about this is that you are not forced to work with the same fields or data structures forever. There are more than 40 million downloads of the software and GitHub has over 35,000 MongoDB repositories. Let us see why MongoDB is growing so rapidly.

Why MongoDB?

MongoDB is a NoSQL database, so it has many reasons to learn it. And due to these reasons MongoDB is popular worldwide.

1. Aggregation Framework-

We can use it in a proficient way by MongoDB. MapReduce is a process in which large datasets will process and generate results with the help of parallel and distributed algorithms on clusters. It can be used for batch processing of data and for aggregation operations. It consists of two sets of operations-  Map() and Reduce().

  • Map()- It performs operations like filtering the data and then performing sorting on that dataset.
  • Reduce()- It performs the operation of summarizing all the data after the map() operation.

2. BSON format-

BSON stands for Binary JSON. It is binary-encoded serialization of JSON similar to documents. MOngoDB uses it to store documents in collections. It is JSON-like storage a format. Here we can add data types like date and binary (JSON doesn’t support). Here BSON format uses_id as a primary key. As stated that _id is being used as a primary key so it is having a unique value associated with itself called as ObjectId. Another advantage of using BSON format is that it enables to internally index and map document properties. It has increased read/write throughput of MongoDB because it is designed to be more efficient in size and speed.

3. Sharding-

The serious issue with any web or mobile application is scaling. To resolve this issue, MongoDB has a sharding feature. In this method data is distributed across multiple machines. Horizontal scalability is being provided with the sharding. It is a complicated process and is done with the help of several shards. Each shard holds some part of data and functions as a separate database. A single logical database is formed by merging all the shards together. Operations here are performed by query routers.

4. Ad hoc queries-

MongoDB supports range query, regular expression and many more types of searches. Queries include user-defined Javascript functions and it can also return specific fields from the documents. MongoDB supports ad hoc queries with the use of unique query language or by indexing BSON documents. Below example shows the difference between SQL SELECT query and resembling query:

E.g. Fetching all records of student table with student name like ABC.

  • SQL Statement – SELECT * FROM Students WHERE stud_name LIKE ‘%ABC%’;
  • MongoDB Query – db.Students.find({stud_name:/ABC/ });

5. Schema-Less-

It is much more flexible than the traditional database because it is a schema-less database. Because of this, the data does not require much to set up for itself and reduced friction with OOP. If you want to save an object, then just serialize it to JSON and send it to MongoDB.

6. Capped Collections-

It has a fixed size of collections in it, so it supports capped collection. It maintains the insertion order. Once the limit is reached it starts behaving like a circular queue.

Example – Limiting our capped collection to 2MB

  • db.createCollection(’logs’, {capped: true, size: 2097152})

7. Indexing-

Indexes are created to improve the performance of search. We can index any field in MongoDB document either primary or secondary. Because of this, the database engine can efficiently resolve queries.

8. File storage-

It is used as a file storing system, which avoids load imbalance and also data replication. This function performed with the help of Grid File System, it is included in drivers which stores files.

9. Replication-

Replication is being provided by distributing data over 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.

10. MongoDB Management Service (MMS)-

MongoDB has a very powerful feature of MMS, because of which we can track databases or machines and if needed we can backup our data. It also tracks hardware metrics for managing the deployment. It gives a feature of custom alert. Using this feature, we can discover issues before our MongoDB instance will affect.

To know more about new version of MongoDB, just go through our blog- All you need to know about MongoDB 3.2.

Benefits of MongoDB-

1. Free to use-

It is free to use. There’s even a free version in the cloud with the free trial version of MongoDB Atlas. The software is also transparent and easy to modify. This gives developers the power to make it their own based on their needs.

2. Load Balancing-

If you have a large amount of data that you need to process then you can distribute the traffic amongst different machines with the help of load balancing. It helps the user to continue working even if one of the nodes/machines has stopped working due to some reason. The other nodes will work and your processing will not stop.

3. Flexibility-

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. With the help of dynamic schema, it is very easy to use MongoDB.

4. Speed-

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.

Know the comparison of Firebase, MongoDB and AWS at- Three Modern Technologies Software Stacks: Firebase vs. AWS vs. MongoDB.

Are you looking to develop software with MongoDB? Then you are at the right place. Solace team is there to help you. Experts at solace believe in the effectiveness of using MongoDB. Develop your best software with solace that means to the success that your business deserves. Contact us for any software development.

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