Introduction
NoSQL databases are a type of database that is non-tabular. These databases store data in key-value pair. Now, there are mainly three types to handle the given data, which are wide-column, key-value, and graph. NoSQL gets flexible schemas with the help of these types. Mongodb and Couchbase are a type of NoSQL that helps the user handle the server's data.
This blog will discuss the topic of MongoDB vs Couchbase in detail. Let us start with the definition of MongoDB.
MongoDB
MongoDB is a type of NoSQL database that is made for general purposes. MongoDB stores data in the form of BSON, i.e., Binary JSON. The BSON is an optimized version of the JSON. The data is stored in a key-value pair where you need to define a unique key with a value associated with it.
Users can store any type of data, like integer, string, boolean, double, binary data, array, object, etc, in MongoDB. These key-value pairs are then stored in a document, which in turn is stored in a collection.
Features of MongoDB
Let us now discuss the features of MongoDB.
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Indexes in MongoDB help to increase search speed and performance. Without the indexes, the database needs to search each query one by one until a query matches the server.
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Sharding is a process that breaks complex code into easy and simple language. The separated parts also have a cluster, which is used to handle a portion of the dataset.
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Document Model can also be used as an object in MongoDB. Hence, developers can focus on the data that needs to be stored.
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MongoDB has a feature that is Database Triggers. Triggers can be used when a certain query satisfies the condition.
- The Replication in MongoDB helps it to create multiple servers to avoid any disaster that starts by crashing the main server.
Pros of MongoDB
We will now discuss some pros of using MongoDB. Let us have a look at that.
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MongoDB is very easy to install and set up to start working on.
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MongoDB supports dynamic queries that help the user use the query language.
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MongoDB is easy to scale.
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The mapping is not required from application objects to the data objects.
- The documentation is available for each topic in MongoDB.
Cons of MongoDB
We will now discuss some cons of using MongoDB. Let us have a look at that.
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MongoDB doesn't support Joins as a relational database does.
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The nesting of documents is not possible after the 100 levels.
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The maximum limit of a document is fixed in MongoDB, which is 16MB.
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The memory space increases due to the absence of the Joins.
- The run time may be increased if the user adds manually to the page with the proper code.
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