![]() ![]() Also, the JSON enables easy data exchange between servers and web apps in a readable format. These key-value pairs are stored in BSON files which are nothing but a slightly modified version of the JSON files therefore all JS are supported. It implements the format of key-value pairs which is called the document store. MongoDB, a popular document-oriented database comes under the category of NoSQL database MongoDB database first version was released in 2010. To know more, scroll down! What is MongoDB? Hence, today we have compared these two databases on various metrics for making the road of tool selection a bit less troublesome. But, choosing the one suitable for your organization is not an easy job. ![]() MongoDB and MySql are the popular names in this context. Numerous databases, tools, frameworks, languages, operating systems, and platforms are used to accomplish the daunting task of data management. Rise of cloud computing has raised the expectations of users for data management. Here comes the talk of relational models.Ī relational database management system has been there for decades especially when it comes to web- based enterprise applications. A properly organized system for performing data-related tasks is crucial for the success of an organization. The database is used for the management of the functionality underlying in a project. You only need to know a few concepts to get any database up and running.A well designed database is required everywhere. Later on, when you're pretty good at one of these databases, you should totally pick up the other one as it is not difficult to do so. With the same token, if you're planning to build a web app using Node.js, go for MongoDB, simply because it is much more popular for developers to use MongoDB with Node.js. These two are a solid combination and there are a lot of tutorials out there which will teach you how to connect your MySQL DB using PHP (and the community that use this combo is super large). If you wanna build a PHP web app, go for MySQL. It depends on the language/framework you wanna use it with. If you're an experienced developer, you know the answer to this: you need to pick the right DB depending on the use case, but since this post is targeted to beginners, here's my answer: However, if you want to get all published dates, you need to query all the notes and extract the published date (you'll write more codes which could go wrong). Here, if you wanna get title of a note, the name of author, and so on, you'll write lesser codes as all related data of a user are stored in a document. Here's an example of MongoDB data in my note taking app.Įnter fullscreen mode Exit fullscreen mode MongoDB is a document based database which looks like JSON. MongoDB is a database with a NoSQL flavor, which means here there are no relationships and no tables. On the flip side, the data are very organized so if you need the list of all subjects, you only need to get the data from the table which stores all subjects. Now, what if you want to get student X's name, ID, subjects taken, course, and so on? We need to query multiple tables to get his/her data so you'll write more codes which could go wrong. These tables are connected with each other. In other words, the data are separated (for a good reason). If a university uses MySQL to store data of students, the database will have a couple of tables (and each table will have row(s) of data) such as that for details of students (which stores the name and ID of students), table for all subjects, table for all courses, etc. MySQL is a database with a SQL flavor, which means the data are separated to tables and rows. If you're a beginner and you're confused which of these databases is the right one for you, you've come to the right place.
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