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A cloud database is a "database that typically runs on a "cloud computing platform, access to it is provided as a service.
Database services take care of scalability and high availability of the database. Database services make the underlying software-stack transparent to the user.
This section may rely excessively on sources too closely associated with the subject
, potentially preventing the article from being "verifiable
. (April 2016)
There are two primary methods to run a database in a cloud:
- "Virtual machine image
- Cloud platforms allow users to purchase virtual-machine instances for a limited time, and one can run a database on such virtual machines. Users can either upload their own machine image with a database installed on it, or use ready-made machine images that already include an optimized installation of a database.
- Database-as-a-service (DBaaS)
- With a database as a service model, application owners do not have to install and maintain the database themselves. Instead, the database service provider takes responsibility for installing and maintaining the database, and application owners are charged according to their usage of the service.
Architecture and common characteristics
- Most database services offer web-based consoles, which the end user can use to provision and configure database instances.
- Database services consist of a database-manager component, which controls the underlying database instances using a service API. The service API is exposed to the end user, and permits users to perform maintenance and scaling operations on their database instances.
- Underlying software-stack stack typically includes the operating system, the database and third-party software used to manage the database. The service provider is responsible for installing, patching and updating the underlying software stack and ensuring the overall health and performance of the database.
- Scalability features differ between vendors – some offer auto-scaling, others enable the user to scale up using an API, but do not scale automatically. There is typically a commitment for a certain level of high availability (e.g. 99.9% or 99.99%).
The design and development of typical systems utilize data management and relational databases as their key building blocks. Advanced queries expressed in SQL work well with the strict relationships that are imposed on information by relational databases. However, relational database technology was not initially designed or developed for use over distributed systems. This issue has been addressed with the addition of clustering enhancements to the relational databases, although some basic tasks require complex and expensive protocols, such as with data synchronization.
Modern relational databases have shown poor performance on data-intensive systems, therefore, the idea of "NoSQL has been utilized within database management systems for cloud based systems. Within "NoSQL implemented storage, there are no requirements for fixed table schemas, and the use of join operations is avoided. "The NoSQL databases have proven to provide efficient horizontal scalability, good performance, and ease of assembly into cloud applications."
It is also important to differentiate between cloud databases which are relational as opposed to non-relational or NoSQL:
- SQL databases
- are one type of database which can run in the cloud, either in a virtual machine or as a service, depending on the vendor. While SQL databases are easily vertically scalable, horizontal scalability poses a challenge, that cloud database services based on SQL have started to address.
- NoSQL databases
- are another type of database which can run in the cloud. NoSQL databases are built to service heavy read/write loads and can scale up and down easily, and therefore they are more natively suited to running in the cloud.: However, most contemporary applications are built around an SQL data model, so working with NoSQL databases often requires a complete rewrite of application code.
- Some SQL databases have developed NoSQL capabilities including "JSON, binary JSON (e.g. "BSON or similar variants), and key-value store data types.
- A multi-model database with relational and non-relational capabilities provides a standard SQL interface to users and applications and thus facilitates the usage of such databases for contemporary applications built around an SQL data model. Native multi-model databases support multiple data models with one core and a unified query language to access all data models.
The following table lists notable database vendors with a cloud database offering, classified by their deployment model – machine image vs. database as a service – and data model, SQL vs. NoSQL.
- ^ A. Anjomshoaa and A. Tjoa, "How the cloud computing paradigm could shape the future of enterprise information processing", Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services - iiWAS'11, pp. 7-10, 2011.
- ^ S. Cass, "Designing for the Cloud", MIT Technology Review, 2009. [Online]. Available: https://www.technologyreview.com/s/414090/designing-for-the-cloud/. Retrieved 2016-10-04.
- ^ ""NoSQL", Wikipedia, 2016. Retrieved 2016-10-04.
- ^ Dave Rosenberg, Are databases in the cloud really all that different?, CNET, Retrieved 2011-11-6
- ^ Agrawal, Rakesh; et al. (2008). "The Claremont report on database research" (PDF). SIGMOD Record. "ACM. 37 (3): 9–19. "doi:10.1145/1462571.1462573. "ISSN 0163-5808.
- ^ Ken North, "SQL, NoSQL or SomeSQL?", Dr. Dobb's, Retrieved 2011-11-9.
- ^ Deploy your database applications and projects on the cloud, IBM.com, Retrieved 2011-9-1
- ^ Chris Kanaracus, "Ingres rolls out cloud database offerings", Infoworld.com, Retrieved 2011-8-28.
- ^ "Amazon Web Services Announces Two New Database Services – AWS Database Migration Service and Amazon RDS for MariaDB, Amazon Press Releases, retrieved 2015-11-17
- ^ "MariaDB Enterprise Cluster + MariaDB MaxScale, Microsoft Azure, retrieved 2015-11-17
- ^ "Running MySQL on Amazon EC2 with EBS (Elastic Block Store), Amazon Web Services, retrieved 2011-11-20
- ^ Swoyer, Stephen. "NuoDB: A Database for the Cloud." TDWI. Nov. 13, 2012. Retrieved Nov. 26, 2012
- ^ Amazon Machine Images - Oracle Database 11g Release 2 (188.8.131.52) Enterprise Edition - 64 Bit, Amazon Web Services, Retrieved 2011-11-9.
- ^ "Oracle Database in the Cloud", Oracle.com, Retrieved 2011-11-9.
- ^ Chris Kanaracus, "EnterpriseDB Adding New Cloud Option for PostgreSQL Database", PCWorld, retrieved 2011-8-28
- ^ "AWS | SAP HANA". Amazon Web Services, Inc. Retrieved 2016-07-07.
- ^ "SAP Solutions | Microsoft Azure". azure.microsoft.com. Retrieved 2016-07-07.
- ^ "SAP HANA Enterprise Cloud". hana.sap.com. Retrieved 2016-07-07.
- ^ https://finance.yahoo.com/news/clustrix-enters-rackspace-partner-program-120500944.html
- ^ a b "EnterpriseDB#cite note-10
- ^ "Cloud SQL - MySQL Relational Database Service". Retrieved 2016-11-28.
- ^ "Announcing Heroku PostgreSQL Database Add-on", Heroku Blog, Retrieved 2011-11-9.
- ^ Pethuru, Raj (2014-03-31). Handbook of Research on Cloud Infrastructures for Big Data Analytics. IGI Global. "ISBN "9781466658653.
- ^ Noel Yuhanna, SQL Azure Raises The Bar On Cloud Databases, Forrester, Retrieved 2011-11-9.
- ^ Klint Finley, "7 Cloud-Based Database Services", ReadWriteWeb, Retrieved 2011-11-9.
- ^ "Setting up Cassandra in the Cloud", Cassandra Wiki, Retrieved 2011-11-10.
- ^ "Google Cloud Platform Blog: Click to Deploy Apache Cassandra on Google Compute Engine". Retrieved 2016-11-28.
- ^ "]
- ^ "Clusterpoint Database Virtual Box VM Installation Guide Archived 2015-03-10 at "Archive.is", Clusterpoint, Retrieved 2015-03-08.
- ^ "Amazon Machine Images, CouchDB 0.10.x 32 bit Ubuntu", Amazon Web Services, Retrieved 2011-11-10.
- ^ "CouchDB Cloud Hosting on Google Cloud Platform". Retrieved 2016-11-28.
- ^ "Amazon Machine Image, Hadoop AMI", Amazon Web Services, Retrieved 2011-11-10.
- ^ "Cloud Dataproc - Managed Spark & Managed Hadoop Service". Retrieved 2016-11-28.
- ^ "Hadoop at Rackspace", Rackspace Big Data Platforms, Retrieved 2014-02-24.
- ^ "MarkLogic Developer 8 (HVM) on AWS Marketplace". aws.amazon.com. Retrieved 2016-03-31.
- ^ marklogic.com. "Flexible Deployment" (PDF). Retrieved 2016-11-28.
- ^ "MongoDB on Amazon EC2, MongoDB.org, Retrieved 2011-11-10.
- ^ "Deploying MongoDB on Google Compute Engine". Retrieved 2016-11-28.
- ^ "MongoDB on Azure, MongoDB.org, Retrieved 2011-11-10.
- ^ "Easily Scale MongoDB at Rackspace", Managed MongoDB ObjectRocket by Rackspace, Retrieved 2014-02-24.
- ^ "Neo4J in the Cloud Archived 2011-09-25 at the "Wayback Machine.", Neo4J Wiki, Retrieved 2011-11-10.
- ^ "Announcing Neo4J on Windows Azure", Neo4J Blog, Retrieved 2011-11-10.
- ^ Andrew Brust, "Cloudant Makes NoSQL as a Service Bigger", ZDNet, Retrieved 2012-5-22.
- ^ "Bigtable - Scalable NoSQL Database Service". Retrieved 2016-11-28.
- ^ "Datastore - NoSQL Schemaless Database". Retrieved 2016-11-28.
- ^ "MongoDB Atlas - Hosted MongoDB as a Service". Retrieved 2016-08-30.
- ^ "NoSQL Database Cloud Service | Oracle Cloud". cloud.oracle.com. Retrieved 2017-11-29.