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A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.
This database-as-a-service offering from MariaDB is a managed cloud service on Google Cloud Platform. SkySQL is a hybrid database offering that includes a column family store, object store, distributed SQL database with both a transactional and analytical query engine. The combination allows developers to use a single database for multiple use ...
Apache Cassandra is a free and open-source database management system designed to handle large volumes of data across multiple commodity servers.The system prioritizes availability and scalability over consistency, making it particularly suited for systems with high write throughput requirements due to its LSM tree indexing storage layer. [2]
Heroku Postgres is the Cloud database (DBaaS) service for Heroku based on PostgreSQL. Heroku Postgres provides features like continuous protection, rollback, and high availability; also forks, followers, and data clips. Heroku Redis Heroku Redis is the customized Redis from Heroku to provide a better developer experience. It is fully managed ...
Manage databases for multi-tenant apps (software-as-a-service) Quickly create dev and test databases to speed up development cycles; Scale production business services quickly and at a known cost; Containerize data in the cloud for isolation and security; Reduce database administration overhead through increased automation
Xeround provides a cloud database service for applications based on the open source edition of the MySQL database [5] (MySQL is currently owned by Oracle).The product addresses two related problems: it is complex to run databases on the cloud, especially if high availability is needed; and databases in general are difficult to scale, as data throughput and volumes grow. [15]
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