MongoDB vs MYSQL: which is better


MongoDB vs MYSQL: which is better

There are various database-related solutions out there that have dominated the market, people are talking about different solutions that can fulfill their requirements not all of them are perfect but as long as these provide with a customized approach and get the work done for the people they are alright choosing whatever solution they can get their hands on. But for the sake of the argument; it is best to have your hands on the best of the best so that you get a consistent and market-tested product that will continue to support you for years to come.

Today we are going to talk about some of the best database management systems out there such as MongoDB and MYSQL. There are different databases operating out there and what if you were able to find the most dedicated and consistent database to get your work done; wouldn't it be a dream coming true? For instance, relational databases were considered to be the ultimate game, and the choices were also made obvious in the form of MySQL, Oracle, or MS SQL but then too much variation hit the market and suddenly there were too many options to choose from. 

MongoDB vs MYSQL

The MongoDB vs MYSQL is one of them; we will be discussing various functional elements and then scaling everything accordingly between the two candidates, it is going to be a pretty tough choice but eventually, by the rule of elimination we will find our absolute best or it might be a tie; we won't know until we get started. So, without further ado let's get right into it:

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Flexibility of schema

MongoDB might be the only database management system out there that doesn't impose any restrictions on the design of the schema. You can add a bunch of documents or other pretty random data files and there is no need to have any relational or narrative-based aspect between them. The only restriction that might come your way is from the supporting data structures. But there is one downlink here and that is you will have to consistently optimize your schema based on how the application or software that you are about to enter will be accessing the data. 

With the MYSQL there are a lot of aptitudes that need to be fulfilled in advance, there must not be anything present there that is without justification. When you are going to store anything in it you will have to clearly define the tables and columns and every row in the table must have the same column. If you follow normalization which is the by default schema design for the MYSQL there isn't much space for flexibility in the manner of storing the data. The table design, every artifact about the data storage, and even the prefixes or variables have to be compact, defining something and extremely rigid to begin with.

Whereas the MongoDB can even store the schemaless documents that can help you store any dedicated information that you want to but eventually there would be some problems in the form of data consistency and vice versa. So, analyzing the bigger picture the MYSQL seems to be more rigid but at the same time there are no shortcomings or errors due to misconfigurations and MongoDB might feel customizable and easier to use but there might be a few consequences that you would have to face eventually.

Querying language

MongoDB uses an unstructured query-based language and in order to build a query in JSON documents, you need to specify the document against the properties that you think can be matched with the results, to begin with. It can be done by using a very rich set of operators that are linked with each other using the JSON and the MongoDB would treat every property as having a separate Boolean. It supports both AND and OR queries but for the sake of using the OR one, you need a separate operator in the form of (#or). 

MYSQL on the other hand uses a structured query language that is SQL to communicate with the database. Despite the fact that it is fairly simple but in its execution it is an extremely powerful language that consists of two parts; that is data definition language and data manipulation language.  

Read More: Why MongoDB is a smart choice to work on Big Data

Relationships in the MongoDB and MYSQL

MongoDB as fair and square it is with the database management related elements doesn't support the JOIN and there is really no equivalent whatsoever. But it does support multidimensional data types such as arrays and various other documents. The placement of one document inside another one is known as embedding.

One of the best parts about the MYSQL is the JOIN operations, putting it into the simpler terms the JOIN operation makes the database run like a relational system. JOIN also allows the user to link the data from two or more tables with the help of a single command that is SELECT. You can easily obtain related data in multiple tables while using a single SQL statement, it can provide you with various variables at a given time such as the name, address, or the mode of transaction to being with.

Performance and Speed

If MongoDB has any benefit over the MYSQL then it has to be about its ability to handle piles and heaps of unstructured data so well that the other can't do so. It is much faster as it will allow the user to query in such a manner that is a lot different than the other relational databases and is more sensitive to the overall workload. On the other hand, some developers might also notice that in overall execution the MYSQL is fairly slow in comparison to MongoDB especially when dealing with larger databases.

There are no standards or appropriate benchmarks that you can run for these two different databases and just that it might return with an actual analysis of both making you choose one over the other. Only your needs, demands, and the type of data that you have to use can help you make the right decision if it ever comes to choosing between these two.

The security model

MongoDB is the type of database that uses a role-based access control with a flexible set of privileges. There are too many security features and to be polite these include; authentication, auditing, and at the same time authorization as well. Various type of different data related encryptions can also be used based on your overall use case and the work requirements such as TLS and SSL that loosely translates into transport layer security and secure socket layer. This will make sure that a specific subset or part of the database or data is only intended to be read, explored, or accessed by a particular client.

MYSQL on the other hand uses a highly privileged security model that means that it can authenticate the user and at the same time can facilitate it with user privileges on a particular database such as CREATE, SELECT, INSERT and UPDATE at the same time. But at the same time, it fails to explain why a given user is denied specific access. On the other hand following the transport layer, it uses the encrypted connections between clients and servers using the SSL systems.

When to use MongoDB or MYSQL?

There are various instances that take on one database and take it to the absolute horizon while in some instances the other database has taken over the place of the other one. MongoDB has a fair share of its highly functioning and glorious moments such as high availability that also offers automatic, fast, and almost instant data recovery.

If you are someone who wants to absolutely reduce their overall schema migration cost the MongoDB is for you as it often has an unstable schema and can accommodate your unstable schema of the database as well. If you are someone who is fairly into cloud computing then MongoDB is the best possible solution for you to begin with as it provides you access to various different cloud computing resources.       

On the other hand, the MYSQL offers the user low maintenance services, it means that if you are someone who is not going to scale much and has a database that is not going to get over the top as soon as it has started then MYSQL can help you with this low-maintenance setup. If you want high performance over a limited budget then it can easily help you to do so and finally if you are someone who is using a fixed schema and your data structure isn’t going to change over time then this type of database is perfect for you. In the end, you will have to make your own decision regarding your requirements and which suits you the best.       

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