With the demand for many languages nowadays, MongoDB is also attracting students to the features and usage value. Keeping this demand in mind, Edureify comes with another article that will explain to you about MongoDB features, applications, advantages, and so on that you can easily explore while learning MongoDB.
Along with this language, you can also gain expertise in the following languages- JAVA, Python, HTML, C++, etc. Learn on BootSelf app Download the app now. Go through the complete article to know more about the same.
MongoDB Features and Applications
MongoDB is an open-source document that works on the concept of NoSQL property. The history of MongoDB can be traced back to 2007 when the initial work started on the lines of Windows Azure. It provides automatic scaling and also encourages the different software sections to harness the power of data. This is available for the general public as well as for commercial use via gaining a license. Let us discuss some of the features of MongoDB which will help in understanding MongoDB in a better way.
Features of MongoDB
- Supports Duplication of Data
- Supports map reduce and aggregation tools.
- Uses JavaScript instead of Procedures.
- It is a schema-less database written in C++.
- Provides high performance.
- Stores files of any size easily without complicating your stack.
- Easy to administer in the case of failures
Reasons to Use MongoDB
The main reasons why MongoDB is used by prominent organizations and elsewhere are:
Versatility – MongoDB understands a variety of programming languages, making it easy to implement and maintain. It is also very expressive, as it can store documents that contain further subdocuments in complex hierarchies.
Executable Query Model – Allows users to highlight important parts of documents or queries based on their usage and need.
Native Aggregation – This feature allows users to extract and modify data from the database. The data can be further transformed into new formats or transferred to other data sources.
Schema-less model – Various properties in the document collection are properly interpreted by the application.
Advantages of using MongoDB
The advantages of using MongoDB are as follows.
- NoSQL database is cheap and easy to use. It can be used for easier data distribution, has a simpler data model, and can be automatically repaired.
- Server cost is very low because it is open source.
- can be easily scaled.
- Built-in cache to generate data output performance.
- Schema is OK.
- User Friendly,
- Aggregation
- Cap Collections
- Ad Hoc Queries
- Server-Side JavaScript Execution and More
Where to Use MongoDB
MongoDB is a NoSQL database. Functionality is higher with unstructured data. Big data systems, social networking platforms, news sites, MapReduce applications, etc.
Some of the best uses for MongoDB are
In cloud computing-Cloud-based storage should easily distribute data among different servers. This is a great feature of MongoDB. For quick and easy access to data. MongoDB is ideal for applications where performance is critical.
MongoDB is open source if you don’t have a database administrator.
Manipulating unstructured data- Apply Agile Approaches to MongoDB Development MongoDB is a non-relational database that requires no advanced preparation.
Where not to use MongoDB
Using MongoDB has certain limitations, and here are some places where you should not use MongoDB.
- ACID Compliant, i.e. if durability is required.
- When working with stored procedures.
- The data used is structured and cannot be changed.
How does MongoDB work?
MongoDB is a database that contains collections. The collection also contains some documents that are dissimilar to each other because MongoDB is schemaless. Store data as a BSON document using key-value pairs. The JSON data is then converted to BSON format on the backend.
You can easily access data using MongoDB because you can provide nested data.
Applications for MongoDB
- Below is a list of applications where MongoDB is used
- Basic MySQL MongoDB
- Priority Committed to high data security Suitable for cloud
