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MongoDB is an open-source and document-oriented database program. Its cross-platform abilities enable it to store a large volumes of data as well as work on itvery efficiently. In addition, the MongoDB database is categorized as a NoSQL database program because the storage and retrieval of data in MongoDB is not done in tabular form. Rather, MongoDB uses documents similar to JSON with optional schemas.
MongoDB database has been developed by MongoDB Inc. and is also licensed under the Server Side Public License, which is deemed non-free by several distributions.
MongoDB database is popular for its scalable data model which makes it easy to add or change fields. If a developer requires to quickly modify an app, MongoDB’s flexible data model allows him to do so seamlessly. Its flexibility and usage are unparalleled.
Additionally, MongoDB is easy to use. Despite being simple, it still has the capabilities to be an efficient database system that can handle the complexity of modern apps. Another reason behind this app’s popularity is that it uses three programming languages, C++, JavaScript, and Python, to set it up.
In 2007, MongoDB database was founded by the team behind DoubleClick, an internet advertising company now owned by Google. The founders, Kevin Ryan, Dwight Merriman, and Eliot Horowitz, had previously developed and used multiple customized data stores to work around the drawbacks of the then existing databases. Notably, the database was officially named MongoDB because it was a squeezed-up form of the word ‘humongous.’
Here are the major concepts related to MongoDB that one must know:
MongoDB creators ensure that developers have a pleasant experience while using their programming expertise with MongoDB. It is to be noted that MongoDB is extremely flexible and versatile. It is compatible with various programming languages such as Python, Ruby, Java, JavaScript, Rust, Scala, PHP, Swift, C, C#, .NET, C++, and Go.
MongoDB Atlas converts the database technology into database-as-a-service over the MongoDB database cloud. With a few clicks, you can make a database for your application’s backend from the web UI (user interface) and begin writing code immediately.
MongoDB Atlas is extremely powerful. It has capabilities which are described below –
MongoDB has the following applications –
MongoDB database can be used to get many balanced features like queuing, map/reduce, and FTS.
Priority of Consistency Over Availability
A developer will find consistency in MongoDB database applications with storage of data.
Denormalizing the data again is extremely tough and very expensive.
In MongoDB, you can mix secondary indices with key/value lookups. But, do not stretch it over everything, as it might scale poorly.
MongoDB database enables sharing on a single server. But, it is also possible with the help of PostgreSQL.
Mongo is ideal for strong querying because its data structure resembles a DWH (data warehouse) cube.
Best for Document-oriented Storage
MongoDB is the best database for storing loads of documents that a tag or a category can sort.
MongoDB database can select the best portion of all databases and convert it into a large-scale system with multiple databases.
There are various frameworks and tools with which the MongoDB database can be used. Here are some examples –
Studio 3T is a MongoDB tool that can manage users, create indices, and import and export data. It helps in maintenance and frequent updating. A user can migrate from SQL to MongoDB with the help of Studio 3T. It is to be noted that Studio 3T also allows the customization of table-to-JSON relationships, previewing documents, and editing them directly.
This is a free GUI tool from MongoDB for rich visualization of geo queries, performance charts, database schema analysis, and explain plans.
NoSQL Booster comes with a shell emulator and IntelliSense. The tool has many snippets and tips that can be opened within the tool. To import single SQL tables from MySQL, SQL Server, and PostgreSQL into MongoDB, NoSQL Booster is a vital tool.
It is a MongoDB GUI accessible online with an intuitive UI that non-tech users can use. It allows you to customize your collections’ display. You can also access your data from anywhere, be it web or mobile. Moreover, you can filter your collections quickly by using its Smart Filter buttons. You can also make charts and dashboards from your MongoDB database.
It is a WSGI-based framework. And, together, they are known as PyMongo. Pylons and MongoDB, when used together, are thread-safe and are used to provide pooling for built-in connection for threaded applications.
Pyramid can easily perform a query in the MongoDB database without any extraction or complex script writing to flatten the data. Therefore, Pyramid helps in displaying query results in real-time.
Django is one of the most popular web frameworks in Python. It is an ideal tool for building secure and easy-maintenance apps using MongoDB. Why is using MongoDB advantageous with Django? More unstructured data is generated from chats, surveys, feeds, real-time streams, and surveys. It helps in minimizing that. The migration is also easier when we use MongoDB with Django.
By and large, the demand for MongoDB has shot up because it is a NoSQL database. In recent times, MongoDB has become essential for full-stack developers. We hope this blog has helped you understand more about the MongoDB database and why it is useful for developers to learn.
Learn MongoDB and more about how it is used in application development with the Certificate Program in Full Stack Development.
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