What Is Mongo Database
In simple layman language, the MongoDB can get defined as a document-oriented NoSQL database with its primary application is a high volume of data storage. Unlike the traditional database systems, we are used to, that capitalizes on relational databases, MongoDB employs the use of documents and collections to store its data. Any MongoDB document associated with this database gets allocated a unique key-value pair that forms that foundation of MongoDB. On the other hand, when the term collection gets mentioned, it refers to a set of documents and functions. Collection can get equated to the typical relational database tables.
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Mongoose comes along with some of the most profound features in the database system. Some of these features include; The data model associated with this database representing a hierarchy relationship, hence making it relatively easy to store any complex structure or array with much ease effectively. Secondly, with MongoDB, a schema design is not required to get defined beforehand. Instead, you can create a field as you execute your DB. The other feature that makes MongoDB unique is the document's structure, which is in line with most programming languages classes. It, therefore, makes it a database of choice to most developers.
What Is MongoDB Used For
MongoDB is quite a popular database system that comes with et broader acceptability in the market. There are various applications and reasons as to why Mongoose gets used widely compared to relational databases. Whether developing an app or a website with high traffic, any application developer and companies can use MongoDB as their back-end processor without a schema design. The following are some of the areas where MongoDB can apply with ease.
First, if you are developing any MongoDB document-oriented kind of application, MongoDB is the best option for you. Rather than having a relational database type of format for your database, you can easily take advantage of the NoSQL feature that comes with this database. Apart from making your database flexible, NoSQL makes your database adaptable to real-life business needs. Secondly, one can comfortably use MongoDB in developing a search engine that uses ad-hoc queries. MongoDB is well known to support an excellent search capability with no limitation to regular expression and other queries. Another excellent application of MongoDB is in creating indexed applications. The performance of any system improves significantly with indexed searches. MongoDB offers excellent searches to any MongoDB document that is indexed. Lastly, if you are creating an application for companies that heavily utilize replication of resources,
MongoDB is the best bet for you. It provides super high availability when it comes to replica sets. Similarly, MongoDB is quite exceptional when it comes to loading balancing as it can easily split data across multiple instances of the same database.
