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2. Cloud database - Wikipedia

   en.wikipedia.org/wiki/Cloud_database

   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.

3. Microsoft Azure SQL Database - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Azure_SQL_Database

   Microsoft Azure SQL Database (formerly known as SQL Azure, SQL Server Data Services, SQL Services, and Windows Azure SQL Database) is a managed cloud database cloud-based Microsoft SQL Servers, provided as part of Microsoft Azure services. The service handles database management functions for cloud based Microsoft SQL Servers including ...

4. Amazon Relational Database Service - Wikipedia

   en.wikipedia.org/wiki/Amazon_Relational_Database...

   Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS). [2] It is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications. [3]

5. Data as a service - Wikipedia

   en.wikipedia.org/wiki/Data_as_a_service

   Data as a service (DaaS) is a cloud-based software tool used for working with data, such as managing data in a data warehouse or analyzing data with business intelligence. It is enabled by software as a service (SaaS). [ 1 ]

6. Google Cloud Datastore - Wikipedia

   en.wikipedia.org/wiki/Google_Cloud_Datastore

   Google Cloud Datastore (Cloud Datastore) is a highly scalable, fully managed NoSQL database service offered by Google on the Google Cloud Platform. [1] Cloud Datastore is built upon Google's Bigtable and Megastore technology. [2] Google Cloud Datastore allows the user to create databases either in Native or Datastore Mode.

7. Cosmos DB - Wikipedia

   en.wikipedia.org/wiki/Cosmos_DB

   It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]