Data applications that take advantage of centralization, like legacy modernization and analytics, are also fantastic candidates for cloud database usage.
While certain use cases are more obvious candidates for cloud database usage, more traditional use cases, like real-time online transaction processing, caching, or data warehousing work just as well in the fully managed paradigm.
MongoDB Atlas, part of MongoDB’s broader data-as-a-service (DaaS) development platform, is a powerful and compelling alternative to managing your own NoSQL, or traditional, database, or using a cloud provider-specific managed offering.
The way a cloud database works is that rather than installing, configuring, and maintaining a database instance or instances, an automated system is able to provision, manage, and scale the underlying database cluster for you.
Fully managed database services handle the complexities of maintaining a consistently available, high performance cluster in a way that allows you, the developer, to access it as a simple, globally available resource.
You can treat the cluster as a single database instance, covered by a transparent usage-based pricing model, so you’re never worrying about over- or under-provisioning.