What is MongoDB? Use and Advantage
MongoDB Database Advantages and Uses
MongoDB is a non-relational, open-source database written in C++, easy to scale, and supports ad hoc query processing. Currently Facebook, IBM etc. It is used as a back-end database for businesses. It stores data in aggregation format. Content management uses analytics and mobile application system MongoDB. MongoDB allows you to read the result of a write operation before running the query to write it. It presents all queries from directories. The reason it is useful is because it needs no relation and structure data concepts.
Languages You Can Use With MongoDB
MongoDB is a database developed and managed by MongoDB.Inc, first released under SSPL (Server Side Public License) in February 2009.
It also includes official driver support for C, C++, C# and .Net and Go, Java, Node.js, Perl, PHP, Python, Engine, Ruby, Scala, Swift and Mongoid. As a result, you can use any above languages to develop an application.
Many companies such as Facebook, Nokia, eBay, Adobe, Google and others use MongoDB to store large amounts of data.
What are MongoDB Features?
If you want to understand why MongoDB is such an effective database solution, you can find some of the outstanding features of the database in the list below:
1. Schemaless database
A schemaless database means that different types of documents can be stored in the same collection. In other words, a single collection in a MongoDB database can contain multiple documents, each with a different amount of space, content, and size.
Unlike relational databases, one document does not need to be similar to another. MongoDB gives a lot of flexibility to databases with this great feature.
2. Document focus
Unlike MongoDB and RDBMS stores all data in documents rather than tables. In these documents, data is stored in fields (key-values) instead of rows and columns, making the data much more flexible than a relational database management system. Every document has own unique object ID.
3. Indexing
Every field in documents in MongoDB database is indexed with primary and secondary indexes, making it easier and faster to retrieve or search data from the repository. If the data is not indexed, the database will have to search each document individually for the query, which is time consuming and highly inefficient.
4. Scalability
Fragmentation means the distribution of data among multiple servers. In this case, a significant amount of data is partitioned using the shard key. These pieces of data are evenly distributed across multiple physical servers. It can used to add additional machine to an existing database.
5. Replication
MongoDB provides high availability and redundancy through replication that produces multiple copies of data and forwards them to a different server. So if one fails, data can be retrieved from the other.
6. Gathering
It allows you to operate on grouped data and get a single or calculated result. Aggregation pipelines, match reduction functions, and single-purpose aggregation methods are among the three available aggregation types.
7. High Performance
Due to features such as scalability, indexing, replication and others, MongoDB has a very high speed and data persistence compared to other databases.
What are the Advantages of MongoDB?
The advantages of MongoDB are as follows:
It is easy to set up, use and a schemaless database.
Due to the feature of a schemaless database, the code we create defines the schema.
Data is stored in Binary JSON format with key/value pair, no need for merge complexity.
Uses RAM to store data; this provides faster access to data.
It can be used for load balancing.
Supports ACID (atomicity, consistency, isolation, and durability) for a database operation.
Supports replication; If the primary server is down during the process, the secondary server will perform the operation without human intervention.
Reduces hardware and storage costs.
It can save a lot of data which will help faster query processing.
Data is stored between cluster nodes, so there is no single point of failure on the database server.
With the dynamic schema, you can try new things at a lower cost. You don't have to worry about data preparation before you try it.
Why Should You Use MongoDB?
There are several factors for using MongoDB over other databases. These factors are as follows:
1. Versatility
Since it is a Non-Structured Query Language, there is no need to create tables when working with MongoDB. As a result, there is considerable versatility in storing, managing and accessing data. Versatility is a big advantage when storing large and uncategorized data.
2. Impressive Speed
MongoDB's speed is the reasons for the high demand. Database speed is impressive as there is no need to create tables or schemas. Using MongoDB, CRUD (Create, Read, Update, Delete) speed is faster than other databases. A MongoDB query is 100x faster, allowing users to index their searches in the fastest time.
3. Easily Accessible
Another reason to use MongoDB is that it supports almost all major programming languages C, C++, C#, Java, Node.js, Perl, PHP, Python, Ruby, Scala and more. In addition, MongoDB has excellent community-supported drivers for low-popular programming languages as well.
4. Ease Of Use
If you're a JavaScript developer, you might quite like the document database. Also, MongoDB is easy to use compared to other databases. Even a non-professional can understand the database and use it efficiently without difficulty. Since MongoDB stores each record in Binary JSON, using the database will become very easy, especially if you are using JavaScript libraries like Node.js, React or Express.js in the back-end.
5. Load Balancing
MongoDB can handle large numbers of read and write requests from clients through load balancing features such as sharding and replication. With this feature, customers can update their information without experiencing a performance lag.
6. Replication
Databases can be volatile. When businesses rely on storing their data in only one database, they risk losing every sensitive data forever in unforeseen circumstances.
So, why MongoDB makes disaster recovery and backup simpler by providing a variety of replication options to store the database in multiple databases while making data replication easier.
7. Indexing
It offers a wide selection of directories to make searches easier and faster. This allows analysts to find specific data faster and hassle-free.
8. Temporary Queries
MongoDB also allows facilities to perform ad hoc queries during real-time analysis for better optimization and performance of data.
Where to Use MongoDB
MongoDB is an excellent choice for web applications with little or no user interaction. Unlike a relational database where it is necessary to store information or even create joins between several tables, MongoDB saves the extra tasks and does it implicitly. You can store user information in the most unified way using MongoDB. As a result, there will be only one query for a single collection, and the front end can take care of organizing the data.
1. Integrating Big Data
If your business includes a repository of data from different sources, MongoDB will be of great help to you. When other databases fail, MongoDB offers unique capabilities to store and integrate big data seamlessly. The single-document database provides robust capabilities to store large numbers of different data in the simplest way.
2. Defining Complex Data
MongoDB allows embedded documents to define nested structures. Nested documents are documents that contain a document within a document. It is useful when there is a one-to-many relationship between documents. Better still, MongoDB supports custom data formats such as geospatial format, resulting in a flexible repository that remains intact even after edits.
You can also use MongoDB for:
Blogs and content management
E-commerce product catalog
User data management
For real-time analytics, high scalability and high-speed logging
Configuration management
To protect geospatial data
Mobile and social networking sites
In summary, MongoDB is a robust database with excellent capabilities and stands out with built-in functions. Today, the IT industry, e-commerce, banking, logistics and many other industries manage data flow using MongoDB. Multinational companies like Bosch, Uber, Accenture, Barclays use MongoDB to store uncategorized data in the most complex way.
Although MongoDB's performance analysis is extremely excellent, it lacks transaction support and indeed uses very high memory for database storage.
