DBMS Concepts

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DBMS ER Model

ER model: Entity Relationship Diagram (ERD) Components of ER Model. DBMS Generalization, Specialization and Aggregation.

DBMS Relational Model

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DBMS Normalization

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DBMS Transaction

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Difference

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Misc

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What is a Cloud Database
2022-04-09 12:11:47

What is a Cloud Database

Cloud computing is the process of commoditizing data storage and processing time using standardized technologies. Cloud databases are databases that are hosted on cloud computing platforms such as Salesforce, GoGrid, Rackspace, and Amazon Elastic Compute Cloud. Users may operate cloud databases independently on the cloud using one of two deployment models: a virtual machine image or by acquiring access to cloud database provider-maintained database services.

Although cloud databases provide substantial advantages over on-premises databases, conventional designs should sometimes be merged with cloud systems. However, cloud databases have proven a complete option for any client that need a custom-built, high-performance infrastructure for a relational database that is managed and backed up by MySQL-certified professionals. Cloud databases are ideal for businesses that want to concentrate on developing their apps without having to worry about infrastructure-related concerns.

The following are the top seven most advantageous cloud databases that enable clients to expand in accordance with their application requirements:

The Best Cloud Database

Amazon Web Services, Inc.

Amazon provides a comprehensive suite of cloud database services, including NoSQL and traditional databases. Amazon RDS – Relational Database Service is a relational database service that operates on Oracle, SQL, or MySQL server instances, while Amazon SimpleDB is a schema-less database designed for lesser workloads. Amazon DynamoDB is a NoSQL database that uses a Solid State Drive – SSD – to replicate workloads automatically across three distinct availability zones. DynamoDB, according to AWS Chief Technology Officer Werner Vogels, is the fastest growing database service in AWS history. Additionally, Amazon provides supplemental data management services such as Redshift – a data warehouse – and Data Pipeline – a data integration service – to facilitate data management.

SAP

SAP, the market leader in business software, now provides a cloud database platform called HANA to supplement an organization's on-premise database resources. Sybase is one of the key database technologies that accompany SAP HANA, and this tool is accessible on the AWS cloud.

EnterpriseDB

Although EnterpriseDB was created with the intention of supporting open-source PostgreSQL databases, its main claim to fame was its ability to integrate with Oracle database applications. Postgres Plus, EnterpriseDB's Advanced Server, allows enterprises to execute applications intended for Oracle on-premise databases in cloud environments from HP and AWS. It includes scheduled backups and binary replication.

Garantia Data

Garantia Data provides a gateway solution for clients that choose to operate Memcached (in-memory NoSQL) databases or open-source Redis in the AWS public cloud. Garantia's software offers simple creation of open-source data platforms through clusters.

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Google's Cloud SQL

This database service is comprised of two primary products: Cloud SQL, which specifies a relational database, and BigQuery, an analytical tool that allows users to conduct queries on massive amounts of cloud-stored data.

Azure by Microsoft Azure

Microsoft's cloud computing platform, has a relational database that allows users to connect to SQL databases stored on Microsoft's cloud or on hosted servers running virtual machines.

Rackspace

Rackspace offers managed and hosted cloud databases. Rackspace offers great performance and features an OpenStack-based SAN storage network.

Advantages of a Cloud Database

Cloud databases have a number of the same advantages as other cloud services, including the following:

  • Increased agility and inventiveness. Cloud databases can be set up and decommissioned rapidly, making it simple and quick to test, validate, and operationalize new business concepts. If an organization chooses not to operationalize a project, it may simply discard it (and its associated database) and move on to the next innovation.
  • Accelerated time to market. When a new product is in the development queue, there is no need to buy gear or waste time waiting for shipping, installation, and network configuration. Database access may be obtained in a matter of minutes.
  • Risks are reduced. Cloud databases, especially DBaaS models, provide several options for risk reduction throughout the enterprise. Automation enables cloud service providers to enforce security best practices and features and to reduce the likelihood of human error—the leading cause of software downtime. Automated high-availability features and service level agreements (SLAs) may help organizations minimize or eliminate revenue loss due to downtime. And capacity planning is no longer a key component of project implementation, since the cloud may act as a limitless reservoir of just-in-time infrastructure and services.
  • Cost savings. Pay-per-use subscription models and dynamic scaling enable end users to provide for steady state, then scale up to meet peak demand during busy times and then back down to steady state. This is far less expensive than keeping similar capabilities in-house, as firms must acquire real servers capable of handling peak demand even if they only use them a few days each quarter. Businesses may save money by actually shutting off services that are not required. Additionally, they may save money by implementing worldwide program with little infrastructure expenditure. Cloud software automation often takes the role of costly database administrators (DBAs), lowering operating costs by removing the need for expensive in-house staff.

Conclusion

Cloud computing databases have exploded in popularity as a way to simplify IT and save operating expenses. They avoid the headaches associated with licence, conventional procurement, maintenance, and installation, all of which need a large number of IT professionals. With the fast acceleration of business, cloud databases allow firms to reduce their reliance on in-house IT personnel to handle massive amounts of data.