MongoDB is a popular database technology used frequently for all kinds of development and data storage needs. It is ‘NoSQL’ in nature and stores data in separate instances called ‘documents.’ The data is stored in JSON-like format and can be entirely flexible thanks to the optional inclusion of a rigid schema. Its document model enables the data stored to be directly accessed within code as objects.
MongoDB integrates with cloud technology very quickly and intuitively. It offers cloud applications like the MongoDB Atlas, a cloud database that can connect to leading cloud services like AWS, Azure, and GCP. Setting up a MongoDB server on any of the cloud services, for example, an AWS MongoDB setup is pretty easy to follow. The Atlas Data Lake is also a scalable data storage option and integrates directly into the main Atlas application.
MongoDB has often been one of the most preferred database services in the world of cloud development and services. It provides powerful analytic capabilities and supports easy horizontal scaling if a deployment needs to expand. MongoDB also accounts for disaster scenarios and provides smooth recovery options. Its data format enables rich data storage that helps fuel powerful predictive analytics.
As data needs grow more expansive day by day, most cloud-backed technologies rely on MongoDB for their storage and analytic needs. Its different pricing structure supports all kinds of uses for individuals, small-time businesses, or giant enterprises. Major cloud vendors like IBM Cloud provide MongoDB database management as a service, thanks to its high availability and security.