Top 7 Cloud Computing Databases Revolutionizing Businesses Across the Globe

Top 7 Cloud Computing Databases Revolutionizing Businesses Across the Globe
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Avyakta

Last updated June 24, 2016


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Cloud computing is basically commodification of data storage and computing time with the help of standardized technologies. Cloud databases are databases that run on cloud computing platforms such as Salesforce, GoGrid, Rackspace and Amazon EC2. Users can independently run cloud databases on cloud with either of the two deployment models - virtual-machine image or by purchasing access to database services that are maintained by cloud database providers.

Although cloud databases provide significant benefits over traditional deployments, sometimes traditional architectures should be integrated with cloud platforms. However, cloud databases have been providing a comprehensive solution for every customer who demands custom-built, high-performance infrastructure for a relational database supported and backed by MySQL-specialized engineers. Cloud databases are best suited for customers who are focused on getting their applications developed without getting hassled with the infrastructure-related issues.

Here are the top 7 most beneficial cloud databases that are offering scalability for the customers to grow, based on their application needs:

  1. Amazon Web Services

    Amazon offers a wide array of cloud database services, which includes NoSQL as well as relational databases. Amazon RDS – Relational Database Service runs on either Oracle, SQL or MySQL server instances whereas Amazon SimpleDB is primarily a schema-less database that is meant to handle smaller workloads. Amazon DynamoDB falls on the NoSQL databases, which is a Solid State Drive – SSD - that is capable of automatically replicating workloads across three different availability zones. According to AWS CTO Werner Vogels, DynamoDB is the fastest growing database service in the history of AWS. Furthermore, Amazon offers supplementary data-management services such as Redshift – a data warehouse and Data Pipeline – a data integrating service for easier data management.

  2. SAP

    SAP, the giant in offering enterprise software, now offers cloud database platform called HANA for complementing the on-premise database-related tools of an organization. One of the major database tools complemented by SAP HANA includes Sybase and this tool is available in AWS cloud.

  3. EnterpriseDB

    Although EnterpriseDB was designed to focus on open-source PostgreSQL databases, its true claim-to-fame was its capability to work on Oracle database applications. The Postgres Plus Advanced Server of EnterpriseDB enables businesses use applications that are designed for Oracle on-premise databases, which run in cloud from HP and AWS. It comprises of scheduled backups as well as binary replications.

  4. Garantia Data

    Garantia Data has been offering gateway service for customers who prefer running Memcached (in-memory NoSQL) databases as well as open-source Redis in the public cloud of AWS. The software of Garantia enables easy configuration of open-source data platforms with the help of clusters.

  5. Cloud SQL by Google

    This database service comprises of two chief products - Cloud SQL that describes a relational database and BigQuery analysis tool, which can run queries on huge sets of data stored in cloud.

  6. Azure by Microsoft

    Azure cloud-computing platform offered by Microsoft offers relational database that enables users to access SQL database either on Microsoft cloud or on hosted servers on virtual machines.

  7. Rackspace

Databases offered by Rackspace come in managed or hosted cloud databases. Rackspace provides high performance and incorporates SAN storage network based on OpenStack platform.

Conclusion

Cloud computing databases are extremely popular for reducing IT complexities and operational costs. They prevent the hassle of licensing, traditional procurement, maintenance and installation involving huge number of IT staff. With the rapid increase in the business pace, cloud databases enable organizations to cut down on the in-house IT resources required to manage huge sets of data.

References:

  • https://www.qubole.com/resources/articles/big-data-cloud-database-computing/
  • https://support.rackspace.com/how-to/cloud-databases-faq/

About the Author

Avyakta is an MSc graduate by education. She is a professional writer in the domain of learning and education. She has completed her masters in Biochemistry from Bangalore University and is currently working as content developer with Simplilearn, which is one of the leading providers of professional certification courses. The courses offered by Simplilearn address the unique needs of working professionals. She has previously worked with a publishing house and an e-commerce firm. She is based out of Bangalore and has an experience of 4 years in the field of content development. Her work has been published on various sites related to Project Management, IT, Finance, SAP, Quality Management and more.


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