We compared Amazon RDS and MongoDB Atlas based on our users’ reviews in four categories. After reading the collected data, you can find our conclusion below.
Comparison of Results: Based on the parameters we compared, MongoDB Atlas seems to be the superior solution. The main difference between these products comes from the powerful integrations that MongoDB Atlas offers. Amazon RDS’s integrations leave room for improvement.
"It is easy to use, flexible, and powerful."
"Amazon RDS is quite a well-managed and stable service...The initial setup was very easy."
"The most valuable features of the solution stem from the fact that it requires an easy setup phase, and it is also easy to use while not being too heavy on its users."
"For me, RDS is a great solution. I like that Amazon RDS is a very simple solution to implement and to start using."
"The solution's customer service is excellent."
"The initial setup is straightforward, and technical support is good."
"The provisioning is much faster. You don't have to prepare hardware or install software. You just need to create an instance and you have a database."
"The most valuable feature is that it is a fully managed database, where they handle most of the administrative tasks and leaves the users more time to concentrate on business."
"The most valuable feature is the schemaless architecture."
"The product is simple to use and enterprise-ready. It is also open-source."
"The product allows us to easily set up and store large amounts of unstructured data."
"The cloud-based nature of this solution makes it flexible and scalable."
"The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received."
"Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas."
"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable."
"It's a good solution for NoSQL databases."
"Currently, we are using Fargate. Instead of that, we are planning to use EC2 instances, but we are facing some problems, and we are unable to enable NAT gateway for Elastic Load Balancer. When we enable auto-scaling, the instance count increases, and we get IP addresses dynamically. We need to whitelist the IPs of these instances, but there is no option to whitelist those IPs in Amazon RDS. We need one static IP that we can assign to ELB so that we can whitelist this IP."
"If we do not keep track of our costs, we might face some problems."
"The running cost could be improved."
"It would be better if it integrated seamlessly with Microsoft products. Our clients use the Microsoft Tally application server. We already tried to create a reputation from, for example, an on-premises environment from our client to Amazon RDS using Microsoft Tally server, and we couldn't do that because we didn't have a strong user in RDS. We couldn't create a reputation from an on-premises environment from the Microsoft Tally server to RDS. I think that it would be a good implementation, and it would help us with this case."
"Some of the features will not be there. For example, some on-premises things we want to set up will not be supported there. There are some challenges that they are fixing."
"They should add a feature for manual SQL patching in RDS."
"Amazon RDS should have a more user-friendly graphical user interface and include better database management options."
"The solution's connectivity and response logs could be improved."
"It would be better if there were more integration capabilities with other products."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"The UI is not currently designed in a manner to make it possible for a non-technical person or a layman to update the database easily."
"The speed when combining two documents is concerning."
"The web console isn't very intuitive, especially for large data."
"We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered."
"One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."
"The tool's implementation should be made easier."
Amazon RDS is ranked 1st in Database as a Service with 45 reviews while MongoDB Atlas is ranked 3rd in Database as a Service with 43 reviews. Amazon RDS is rated 8.4, while MongoDB Atlas is rated 8.4. The top reviewer of Amazon RDS writes "Provides excellent authentication, authorization, integration, data protection, and autoscaling features". On the other hand, the top reviewer of MongoDB Atlas writes "Allows our business to analyze social media data with machine learning and store the data in MongoDB". Amazon RDS is most compared with Google Cloud SQL, SQL Azure, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer, whereas MongoDB Atlas is most compared with SQL Azure, Google Cloud SQL, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer. See our Amazon RDS vs. MongoDB Atlas report.
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We monitor all Database as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.