Amazon DynamoDB vs Oracle Database Cloud Service

• DynamoDB is fully-managed. In the early days, it lacked features like backups, and developers had to either implement some of their own backup functionality or live dangerously. Today, DynamoDB's claim to be fully-managed is more credible. Backups can be configured through the console. Table capacity does not even need to be planned anymore; you can scale (and pay) on-demand.
• DynamoDB is inexpensive for some use-cases. In particular, DynamoDB is very inexpensive when you create a datastore for a low-volume micro-service, or a stateful background job. DynamoDB is much less expensive than RDS or Elasticache for these use-cases, and it allows developers to design systems without worrying about cost.
• DynamoDB is fast when used for the use-cases it was designed for.
• DynamoDB supports the development experience and testing reasonably well. AWS provides an official DynamoDB image that can be used in tests locally or in CI.

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• Oracle Cloud provides Infrastructure as a Service (IaaS). These services are used to build, deploy, integrate, and extend applications in the cloud.
• Platform as a Service (PaaS)
• Software as a Service (SaaS)
• Data as a Service (DaaS)

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• Capacity planning can be difficult, but it is probably a worthwhile exercise in itself. However, today you can scale tables on-demand without capacity planning.
• Migrations can be slow and difficult. If you need to change your schema (e.g., add a secondary index) after you have written a large volume of data to the table or after consumers of the data are live, migrating can be expensive. Tooling for DynamoDB migrations is less mature than tools for migrating other datastores.
• The API is complicated, and third-party wrappers, like PynamoDB, are immature.
• Scanning tables is slow and expensive. It is important to anticipate all of the types of queries you will need to support and design your schema accordingly.

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• Licensing cost compared to other cloud platforms.

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• Dynamodb reduced the need for SRE headcount to maintain infrastructure.
• Built in metrics dove tails with existing monitoring tooling.
• Flexible NoSQL design allows developers to focus on business problems, rather than database design.

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• Billing on Hosted Environment per hour, OCPU per hour, block volumes, object storage, etc.
• Costing & maintenance, patching.
• Security & TDE cycles.
• Backups & recovery.
• The features are complemented by database lifecycle management features, like configuration management, performance management, patch automation, etc. which make the solution complete from a DBaaS administrator’s perspective as well.
• Manager 12c covers all the major use cases for DBaaS, which yield significant business benefits and high ROI.

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