How to create and manage a free hosted MongoDB in the cloud
About MongoDB
MongoDB is a popular open-source NoSQL database management system that stores data in a JSON-like document format called BSON (Binary JSON). It is designed to be highly scalable and flexible, making it a popular choice for modern applications that require large amounts of data storage and flexible data models.
Some common uses of MongoDB include:
Web applications - MongoDB can be used to store and manage data for web applications that require high scalability and flexibility. It is a popular choice for modern web applications that need to manage large amounts of unstructured data.
Mobile applications - MongoDB can be used as a backend for mobile applications, providing a flexible and scalable data storage solution.
Big data - MongoDB can be used to store and manage big data, providing a scalable and efficient solution for processing and analyzing large datasets.
Internet of Things (IoT) - MongoDB can be used to store and manage data from IoT devices, providing a flexible and scalable solution for storing and processing large amounts of sensor data.
Creation of a free MongoDB in the cloud
Go to the MongoDB Atlas website at MongoDB Website. Click on the "Try Free" button. Enter your email address and create a password to create a new account.
Once you have created an account, you will be prompted to create a new project. Click on the "Create a new project" button. Enter a name for your project and click on the "Create Project" button.
Once your project is created, click on the "Build a Database" button to create a new MongoDB database. Choose a cloud provider, region, and cluster type for your new cluster. A free serverless setup would be "Azure" as the cloud provider, "Virginia-East2 (eastus2)" as the region, and "M0" as the cluster type.
Once your cluster is created, click on the "Connect" button to connect to your cluster. Before finishing, you'll need to whitelist your current IP address in order to access the cluster - and create a new database user used for the connection string. Choose a connection method (such as using the MongoDB shell or a driver) and follow the instructions to connect to your new serverless database.
Congratulations! You have now created a free serverless MongoDB database on their website. You can start using it to store and manage your data.
Further MongoDB information
There are several differences between MongoDB and traditional relational databases such as MySQL or PostgreSQL. Some of the key differences include:
Data Model - While relational databases store data in tables with defined columns and rows, MongoDB stores data in flexible and dynamic documents that can have nested structures.
Scalability - MongoDB is designed to be highly scalable and can easily handle large amounts of data, while traditional relational databases can struggle with scaling to handle large volumes of data.
Querying - MongoDB uses a flexible query language called MongoDB Query Language (MQL), which allows for complex queries and aggregation operations on the data. Relational databases use SQL for querying.
Data Integrity - Relational databases enforce data integrity rules such as foreign key constraints and unique constraints. MongoDB does not enforce these rules by default, although it does offer features to support data integrity.
Transactions - Relational databases support ACID transactions, which ensure that data modifications are atomic, consistent, isolated, and durable. MongoDB supports multi-document transactions, but does not support full ACID transactions.
Conclusions
Overall, MongoDB is a popular choice for modern applications that require high scalability and flexibility, particularly for managing large amounts of unstructured data. Its flexible data model and scalable architecture make it a popular choice for web applications, mobile applications, big data, and IoT applications.