It’s great for server less and real-time applications. It would be great for gaming and mobile apps. However, if you need relational database and have fixed budget, do not use it. While budget can be managed, you need to be careful. Also this is not a tool for storing big data, there are other wide-column database types you could use for it ins the ad
Cost Effective & Flexible: Customers can start as low as a single OCPU VM up to 24 OCPUs. Customers pay only for OCPUs and Storage used.
Ease Of Getting Started: Customers can easily create Oracle Certified, full-featured, fully supported 11g, 12c (both 12.1 & 12.2) databases with choice of any database edition.
Built-in High Availability Constructs: Customers can easily deploy 2-node RAC configurations with all the VM shapes. For example: Easily deploy a 2-node RAC configuration with 2 core Virtual Machines and shared block storage of up to 40 TB.
Durable & Scalable Storage: Customers can use remote storage starting at 256GB up to 40 TB. Storage can be scale up with no downtime.
Secure: Customers still get all the advantages of our Oracle IAM for management control and VCN Security lists for securing their database environments.
When we restart the DBaaS instance, it seems like we had to add the NIC network back again. I'm not sure if it's specific to our instance configuration!
It's core to our business, we couldn't survive without it. We use it to drive everything from FTP logins to processing stories and delivering them to clients. It's reliable and easy to query from all of our pipeline services. Integration with things like AWS Lambda makes it easy to trigger events and run code whenever something changes in the database.
Functionally, DynamoDB has the features needed to use it. The interface is not as easy to use, which impacts its usability. Being familiar with AWS in general is helpful in understanding the interface, however it would be better if the interface more closely aligned with traditional tools for managing datastores.
It works very well across all the regions and response time is also very quick due to AWS's internal data transfer. Plus if your product requires HIPPA or some other regulations needs to be followed, you can easily replicate the DB into multiple regions and they manage all by it's own.
The only thing that can be compared to DynamoDB from the selected services can be Aurora. It is just that we use Aurora for High-Performance requirements as it can be 6 times faster than normal RDS DB. Both of them have served as well in the required scenario and we are very happy with most of the AWS services.
I would prefer the oracle database as service where my complete implementation is on Oracle Cloud Platform and as BI Implementation where datawarehouse is built on oracle database.
I have taken one point away due to its size limits. In case the application requires queries, it becomes really complicated to read and write data. When it comes to extremely large data sets such as the case in my company, a third-party logistics company, where huge amount of data is generated on a daily basis, even though the scalability is good, it becomes difficult to manage all the data due to limits.
Some developers see DynamoDB and try to fit problems to it, instead of picking the best solution for a given problem. This is true of any newer tool that people are trying to adopt.
It has allowed us to add more scalability to some of our systems.
As with any new technology there was a ramp up/rework phase as we learned best practices.
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.
