Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.
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Oracle TimesTen
Score 7.8 out of 10
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Oracle TimesTen In-Memory Database (TimesTen) delivers real time application performance by changing the assumptions around where data resides at runtime. By managing data in memory, and optimizing data structures and access algorithms, database operations execute achieve gains in responsiveness and throughput. With TimesTen Scaleout, a shared nothing scale-out architecture based on the existing in-memory technology, TimesTen allows databases to scale across hosts, reach hundreds of terabytes in…
If your application needs a relational data store and uses other AWS services, AWS RDS is a no-brainer. It offers all the traditional database features, makes it a snap to set up, creates cross-region replication, has advanced security, built-in monitoring, and much more at a very good price. You can also set up streaming to a data lake using various other AWS services on your RDS.
TimesTen is well suited for applications using smaller data or smaller data stores and where transaction response times are not as business critical. TimesTen is good for applications already accessing Oracle and need to cache data for quick read/write operations. TimesTen is not appropriate for large data dependent applications or applications requiring fast response times. In these cases, using Oracle database or Exadata is better
Automated Database Management: We use it for streamlining routine tasks like software patching and database backups.
Scalability on Demand: we use it to handle traffic spikes, scaling both vertically and horizontally.
Database Engine Compatibility: It works amazingly with multiple database engines used by different departments within our organization including MySQL, PostgreSQL, SQL Server, and Oracle.
Monitoring: It covers our extensive monitoring and logging, and also has great compatibility with Amazon CloudWatch
It is a little difficult to configure and connect to an RDS instance. The integration with ECS can be made more seamless.
Exploring features within RDS is not very easy and intuitive. Either a human friendly documentation should be added or the User Interface be made intuitive so that people can explore and find features on their own.
There should be tools to analyze cost and minimize it according to the usage.
We do renew our use of Amazon Relational Database Service. We don't have any problems faced with RDS in place. RDS has taken away lot of overhead of hosting database, managing the database and keeping a team just to manage database. Even the backup, security and recovery another overhead that has been taken away by RDS. So, we will keep on using RDS.
I've been using AWS Relational Database Services in several projects in different environments and from the AWS products, maybe this one together to EC2 are my favourite. They deliver what they promise. Reliable, fast, easy and with a fair price (in comparison to commercial products which have obscure license agreements).
I have only had good experiences in working with AWS support. I will admit that my experience comes from the benefit of having a premium tier of support but even working with free-tier accounts I have not had problems getting help with AWS products when needed. And most often, the docs do a pretty good job of explaining how to operate a service so a quick spin through the docs has been useful in solving problems.
Amazon Relational Database Service (RDS) stands out among similar products due to its seamless integration with other AWS services, automated backups, and multi-AZ deployments for high availability. Its support for various database engines, such as MySQL, PostgreSQL, and Oracle, provides flexibility. Additionally, RDS offers managed security features, including encryption and IAM integration, enhancing data protection. The pay-as-you-go pricing model makes it cost-effective. Overall, Amazon RDS excels in ease of use, scalability, and a comprehensive feature set, making it a top choice for organizations seeking a reliable and scalable managed relational database service in the cloud.
Sybase does not have an in-memory database until version 15 so TimesTen was ideal for caching data. TimesTen has reliable replication and backing up mechanisms. Oracle takes longer to set up and use for most applications where as TimesTen is a smaller DBMS that is quick and easy to set up and use. TimesTen can connect to Oracle for caching data so using Oracle as a backend makes sense
TimesTen has had a positive impact from a developer's perspective because implementing TimesTen is quick and easy. The benefits of TimesTen can be seen almost instantly. For instance, the application start up time is faster, the data is easy to maintain and the performance is fast for TimesTen clients.
TimesTen has had a positive impact for the business because it can be made accessible to users via a GUI. This gives users transparency to the data at any time.
The negative impact is that once the TimesTen database has grown too large, the application should move to using Oracle database or else it suffers from performance degradation and stability issues.
