traditional cloud database

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cloud database
From traditional databases running on cloud virtual machines (VMs) to fully managed NoSQL database-as-a-service (DBaaS), cloud databases are changing the application development process.
What is a cloud database?
A "cloud database" can take one of two different forms: a traditional database or a NoSQL database installed and run on a virtual machine (public, private, or hybrid) in the cloud, or a fully managed database-as-a-service from a cloud provider (DBaaS ) products and services. The former run their own self-managing database in a cloud environment, which is really no different from operating a traditional database. Cloud DBaaS, on the other hand, is the natural equivalent of a software-as-a-service (SaaS) database: pay as you go, pay only for what you use, and the system handles all the details of configuring and scaling to meet demand while maintaining consistent high performance.


Ease of Access and Agility

Scalability and performance

Reliability and Disaster Recovery
Whether your team is developing software on cloud infrastructure or migrating legacy applications to the cloud, cloud-native database offerings are becoming increasingly popular.

Modern database-as-a-service platforms simplify access to critical resources by providing easy (yet controlled) access from cloud and non-cloud systems through consistent APIs and drivers. Centralized and easily accessible databases are especially beneficial in resource microservice architectures because many applications need to access and share data.

While cloud SQL databases can be used in a variety of situations, the flexibility of today's cloud NoSQL databases greatly increases the agility of data management and software development. System upgrades, rebalancing clusters, or configuring faster hardware can be performed without downtime or even with architectural and structural changes.

If you think NoSQL means you have no control over data quality, then perhaps you need to understand how MongoDB provides structural guarantees without sacrificing the ultimate flexibility of the document model.

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