Best Cloud Databases

Cloud computing is essentially the commodification of data storage and computing time using standardized technologies.  Users can independently run cloud databases in the cloud using one of two deployment models – a virtual machine image or by purchasing access to database services managed by cloud database providers.

Cloud databases

Amazon web services

Amazon offers a wide range of cloud database services that include both NoSQL and relational databases. Amazon RDS – A relational database service runs on either Oracle, SQL, or MySQL server instances, while Amazon Simple DB is primarily a schema-less database designed to handle smaller workloads. Amazon DynamoDB falls under the category of NoSQL databases, which is a solid-state drive that is capable of automatically replicating workloads across three different availability zones. 

Enterprise DB

Although Enterprise DB was designed to focus on the open-source PostgreSQL database, its real claim to fame was its ability to work with Oracle database applications. Postgres Plus, Advanced Server Enterprise DB, enables businesses to use applications that are designed for Oracle on-premises databases that run in the cloud from HP and AWS.

Google cloud

Google Cloud Platform offers a variety of services that use the same hardware and infrastructure as other Google products. GCP offers a wide range of hosted services for cloud computing, storage, networking, big data, machine learning, IoT, cloud management, etc. GCP provides IaaS, PaaS, and serverless computing environments.

IBM Db2 on cloud

IBM Db2 on Cloud is a fully managed SQL database with 99.99% availability SLA, independent storage and compute scaling via the user interface and API, multiple disaster recovery options, data encryption, and other features. IBM’s relational database offers advanced data management and analytics capabilities for transactional and warehouse workloads.

MongoDB atlas

Mongo Cloud Database is a fully managed NoSQL database that offers flexibility, scaling, sharing, and database management automation. It allows most developers to cycle through different delivery models without needing the help of a database administrator. The downside is that MongoDB Atlas is NoSQL only, which means that SQL-dependent applications are not an option with this database.

OpenStack

The database is developed by the community and is based on development milestones with a release cycle of approximately six months. Both relational and non-relational database engines are supported, while cloud users and database administrators can manage multiple database instances. The downside is that OpenStack requires expert engineering skills to navigate the many configuration options and troubleshoot potential issues.

EDB postgres advanced server

Enterprise DB’s cloud database solution focuses on PostgreSQL, but can also run-on Oracle database applications, allowing users to easily migrate from Oracle. Enterprise DB includes remote database management services, including monitoring, management, and maintenance of Amazon RDS for PostgreSQL and Microsoft Azure Database for PostgreSQL.

Other cloud database services

The number of cloud platforms offered by a wide variety of companies has expanded in recent years. As database software remains the norm, it remains key to ensure that whatever cloud platform you choose is likely to support your database types and sizes and integrates properly with other IT infrastructure, not least security or error monitoring.

How to choose?

  • Performance – An online and independently scalable database ensures that your company’s workload and needs are always met. When changes are necessary, continuous availability of data during scaling is an important factor.
  • Automated services – Automated services and online performance optimization are must-have features to keep everything running smoothly. One such service is automatic indexing, which provides fast data retrieval by automatically maintaining and using indexes.

Conclusion

Cloud computing databases are extremely popular for reducing IT complexity and operational costs. They avoid the hassles of licensing, traditional procurement, maintenance, and installation that involve large numbers of IT staff.