What is MongoDB ?
An open-source document-oriented database called MongoDB allows you to work with data very effectively while storing a lot of it. MongoDB is categorized as a NoSQL (Not Only SQL) database since it does not keep or access information in the form of hierarchies.
The Server Side Public License (SSPL) governs the creation, maintenance, and use of the MongoDB database, which was first made available in February 2009 by MongoDB.Inc. Additionally, it offers official driver support for all of the widely used programming languages, including C, C++, C#, and.Net; Go; Java; Node.js; Perl; PHP; Python; Motor; Ruby; Scala; Swift; and Mongoid. such that you can use any of these languages to construct an application. Many businesses today, including Facebook, Nokia, eBay, Adobe, Google, and others, use MongoDB to store their massive amounts of data.
What is MongoDB atlas ?
With MongoDB Atlas, you can deploy, manage, and repair your installations on the cloud service provider of your choice without worrying about any of the hassles (AWS, Azure, and GCP). When you want to run MongoDB in the cloud, use the MongoDB Atlas.
What is MongoDB compass ?
Without learning or using queries, users can browse, examine, and communicate with the data stored in a MongoDB database using MongoDB Compass
Compass is a graphical user interface substitute for the Mongo shell that we previously described. MongoDB Compass is a free program. Its GitHub data store may be found here.
Why Use MongoDB?
If programmers want to build the scalable system where the data formats may vary, MongoDB is a perfect platform due its its scale out architecture
This platform is simple for programmers to store both organised and unorganised data. The way of storing documents in this playform is similar to that of JSON. Since developers don't have to worry about normalizing data, this format naturally maps to native objects in the majority of contemporary programming languages. To support heavy data loads, MongoDB can scale both vertically and horizontally and handle huge volumes.
MongoDB vs MySQL
- Unlike MySQL, which provides the data as tables and rows, MongoDB shows the data as JSON documents.
- Unlike MySQL, where you must define your tables and columns, MongoDB does not require you to establish the schema.
- MongoDB does not allow JOIN operations as that of MySQL.
- While MySQL utilizes the Structured Query Language, MongoDB's query language is JavaScript (SQL).
- MongoDB is the greatest option for you if the majority of your services are cloud-based, but MYSQL is the ideal choice if data protection is your primary concern.
Getting Started with MongoDB Atlas
Starting with MongoDB Atlas is simple, and signing up for the free tier just takes a few seconds. An interactive web interface is used throughout the process to guide you through different deployment options. It is simple, natural, and doesn't call for any particular knowledge.
