Amazon Athena vs. Amazon Relational Database Service (RDS)

If you are looking to take a lot of the traditional "database administration" work off someone's plate, going with Amazon Athena certainly has "no code" options to optimize lots of database tasks. I would say this option is less appropriate if you have other Microsoft things at play, such as Power BI.

Incentivized

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.

Incentivized

• Nested Schemas like JSON data structure
• Ability to adapt the data model to fit your queries better
• Performance Improvement

Incentivized

• 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

Incentivized

• Response caching can be improved.
• Data Partitioning is tricky and understanding of the same could be improved.

Incentivized

• 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.

Incentivized

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.

Incentivized

Easy to use. Scalable. Gets the job of data warehousing setup done. Using the datalake on S3 has become super convenient.

Incentivized

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).

Incentivized

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.

Incentivized

the online training & digital content available on the web from AWS was having sufficient information to deploy and run the service

Incentivized

Incentivized

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.

• The query speeds help us make more decisions in a day (speed).
• If you need more horsepower for specific times in the day this option helps scale.
• The security of your environment is well protected too.

Incentivized

• The overall cost increases, but we spect this and we can mitigate other risks.
• Is easy to work from the cloud. Is reliable, but we keep our local solution as well where RDS works quite good.
• RDS allow us to focurs on owr objetives instead of the other matters regarding databases.

Incentivized