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According to our MongoDB Assignment Expert, it is the most representative of the databases known as NoSQL, an acronym for Not only SQL. We can also call it the term document database since what we store are pure JSON documents and not records, as it happens in the tables of relational databases.
The NoSQL database occupies a specific package among the current database solutions. They address common needs be it a web application, mobile application and Internet of Things. But it cannot be said that they are suited for all types of projects. In general, we can find a NoSQL database useful when following our requirements, known as 3Vs.
Velocity: If an application needs to store or access a lot of information in a short period, a database is needed that provides high speed. Documentary databases can be much faster than relational databases, allowing them to serve customers who need to perform multiple operations per second.
Volume: Regarding the size of the database, if we have a very large or large amount of information then we need a significant amount. Relational databases typically run slower when a table contains a very large number of records.
These forces administrators to seek solutions such as dividing tables into separate segments, accessing data, and making operations more expensive. This is not a delinquent in NoSQL databases, which are capable of managing oversize data in their units. Experts of Database Management Assignment Help has expertise in solving assignments on such topics.
Variability: Massive speed and volume requirements often come together and affect many applications today. Nevertheless, there is another characteristic of the data that is even more illustrative of selecting NoSQL, such as variability. In relational databases, the information schema is carefully defined beforehand.
In all these conditions, databases can provide an ideal solution for projects. Though, always remember that silver bullets do not exist and relational databases are still very essential for most applications. Especially since the benefits of NoSQL come at the expense of some basic functions on data.
1- Data modelling: If you are thinking of using NodeJS as your backend, you may have heard of MERN (Mongo Express React Node.js) or MEAN (Mongo Express Angular Node.js) architectures it is common to use Mongo because the data is stored in structures similar to a JSON, this makes the data flow within the application does not have major changes in the data structure.
2- Scalability: If you are expecting a large flow of users, it is ideal that the database you choose can scale with demand, MongoDB is a distributed database can scale not only vertically (CPU and RAM) but also horizontally (creating more nodes).
3- Flexibility: Using a document-based database that is Schema Less like MongoDB makes your database grow with your application without having to run scripts that create fields with default values every time you want to add a new field in your records. Within MongoDB, it is normal that documents within a collection do not have the same fields.
4-High Availability: If you have users in many parts of the world and you want the applications to be regionally distributed, MongoDB allows you to have distributed clusters. This improves the query speed by reducing the latency between the database cluster and the service executing the query.
5-Transactions: If you come from the SQL world and had been prevented from using MongoDB because it did not offer transactions, we tell you that in its version 4.0 MongoDB brings us ACID transactions (Atomicity, Consistency, Isolation, and Durability) between multiple documents.
6- Powerful syntax for querying: In MongoDB, we have multiple operators that allow us to create powerful queries with little code, also, we have Aggregations that are a mechanism that allows us to perform operations between multiple collections.
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