What is MongoDB used for?

MongoDB is based on a scalable architecture that has become popular with developers of all stripes for building scalable applications with evolving data schemas. As a document database, MongoDB makes it easy for developers to store structured or unstructured data. It uses a JSON-like format to store documents.

Constant development is taking place worldwide, including the technological sectors. The advancement of the digital industry has given rise to various methodologies, storage options, and databases that help develop multiple systems, applications, and software. If you’re looking for a way to advance your career in a technical field, it is quite beneficial to know the latest methods that the industries are implementing. One such database is known as MongoDB. A Mongodb developer training can prove to be quite helpful.


A document-oriented database, MongoDB is a scalable and open-source platform that is designed to store a large amount of data. It is a flexible, No SQL database which allows developers to handle and work with the data efficiently. Especially since data is not stored or retrieved in the form of tables. It is one of the newest data storage platforms, released in 2009 to prove as a solution for other NoSQL platforms. Since then, MongoDB has become quite popular and is used by well-known companies like eBay, Shutterfly, and MetLife. There are a few features that make it such a preferred choice.

●  Ad-hoc Queries-

Ad-hoc queries in SQL are loosely typed short-lived commands. More appropriately, these queries depend on the variable since it is impossible to know the various queries that end-users might perform. It is very important to handle ad-hoc queries efficiently, especially when thousands of variables need to be considered. MongoDB achieves that by allowing developers to update the questions in real-time. This can significantly improve the performance of the database, optimizing its use. One would understand all such features with proper MongoDB developer training. The MongoDB Query Language and BSON documents are used to support different types of queries or regular expression searches.

●  Appropriate Indexing-

Indexes are used so that the speed and performance of search are improved. However, many platforms fail in this area by not properly defining the required indexes, leading to various problems. MongoDB solves this problem by creating indexes when demanded which serves the changing application requirements and query patterns. A range of indexes is offered by MongoDB so that support can be provided for complex access patterns.

● Improved Safety-

A lot of data tends to reside in any database. When all the necessary and important data is stored in one place, the data is left in a vulnerable position. Such databases might often face problems like hardware failure, server crashes, and interruptions. If they occur, one won’t be able to access the data or they might be permanently lost. To prevent such a scenario, MongoDB utilizes multiple servers for replication. The primary servers are used to accept all operations and data when they are written. They are all copied on a secondary server. If the primary server experiences any failure, the secondary server acts on its behalf so that developers face no issues.

A Mongodb developer training will help push one to success due to the rampant demand for the solutions provided by these features.

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