Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.
N/A
Oracle Autonomous Database
Score 9.1 out of 10
N/A
Oracle Autonomous Database provides a self-driving, self-securing, self-repairing cloud service that eliminate the overhead and human errors associated with traditional database administration. Oracle Autonomous Database takes care of configuration, tuning, backup, patching, encryption, scaling, and more.
N/A
Pricing
Amazon Relational Database Service (RDS)
Oracle Autonomous Database
Editions & Modules
Amazon RDS for PostgreSQL
$0.24 ($0.48)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for MariaDB
$0.25 ($0.50)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for MySQL
$0.29 ($0.58)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for Oracle
$0.482 ($0.964)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for SQL Server
$1.02 ($1.52)
per hour, R5 Large (R5 Extra Large)
No answers on this topic
Offerings
Pricing Offerings
Amazon RDS
Oracle Autonomous Database
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
Optional
Additional Details
—
—
More Pricing Information
Community Pulse
Amazon Relational Database Service (RDS)
Oracle Autonomous Database
Features
Amazon Relational Database Service (RDS)
Oracle Autonomous Database
Database Development
Comparison of Database Development features of Product A and Product B
Amazon Relational Database Service (RDS)
-
Ratings
Oracle Autonomous Database
7.2
Ratings
17% below category average
Version control tools
00 Ratings
6.20 Ratings
Test data generation
00 Ratings
5.70 Ratings
Performance optimization tools
00 Ratings
8.20 Ratings
Schema maintenance
00 Ratings
9.00 Ratings
Database change management
00 Ratings
7.00 Ratings
Database Administration
Comparison of Database Administration features of Product A and Product B
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.
Scenarios where this is best suited are like where there are not large set of data which has to be analyzed and extracted.It helps in the efficiency of data .It is also well suited for medium size companies where you have to create a common data for everyone. As for large set of data, there can be network latency issues and thus there are some limitations of this software.
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.
There is no access to the physical host of the DB. This is expected from a managed DB. Everything must be done through the console or via API calls. This is a new learning curve for the DBAs.
Due to the lack of physical host access, certain features are not supported, such as Transportable tablespaces and Oracle LogMiner.
Certain special data types, (such as XMLType) are not allowed; be sure the app vendor certifies their product on this platform.
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.
Autonomous is the way of the future and this is one system which is crucial to any system and is also autonomous. It is self-tuning and self-maintaining which are major advantages.
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).
The product is continuously evolving and new features are added frequently. Management options through the OCI (Oracle Cloud Infrastructure) console and through the command line and API are being enhanced frequently.
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.
Hands down it's the best. It's secure and extremely fast. It also doesn't need a lot of babysitting. It's running itself. It does its job as advertised. This is why I feel everyone should if they haven't already taken a hard look OAD. I feel it's the future of technology at its best. Everyone should be taking notice of how far technology has come and where it's going.