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.
"Relational databases excel in extensive normalization, eliminating data redundancy and efficiently structuring tables which leads to a clear and efficient relationship between tables using primary keys."
"The most valuable feature of Amazon RDS is its performance."
"The most valuable features of Amazon RDS are its scalability, reliability, and intelligence."
"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 solution has unique features like backup and recovery, and snapshots. It upgrades automatically. The solution offers easy analytics concerning performance metrics. Its reliability and scalability are very good. The tool's most valuable features are disaster recovery, high availability and scalability."
"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."
"Amazon RDS is easy to maintain and easy to deploy."
"The product solved our DevOps and admin problems."
"It is a scalable solution because we use quite a lot of data, and it handles it well."
"It enables us to get work done quickly and get to our data."
"It is nice because our developers create tables whenever they need to sync data."
"The most valuable feature is that it's all web-based. So one can browse collections just from the web. MongoDB Atlas is very accessible, quick to understand, and quick to learn. People who have never used CLI can hop into the web interface and browse the database."
"The most valuable feature is the schemaless architecture."
"The auto-scaling feature is the most valuable aspect."
"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."
"When you are using it for the first time, it is a little bit hard to configure. The first-time configuration is not very easy. It should be easier to configure. Its installation should also be simpler. Currently, its installation is very complex. With SQL Server, we have access to the SQL Server analysis services and reporting services, but such services are not available with Amazon RDS."
"Amazon RDS could improve by having more sophisticated. I use other solutions that have better technology for more difficult tasks."
"With my limited experience, I have noticed that documentation management could be improved. It could be better."
"I also don't think it's very scalable."
"The solution is a bit expensive."
"They should add a feature for manual SQL patching in RDS."
"Amazon RDS needs to have an overall dashboard where I can view all the tables in the form of pie charts and Gantt charts. The deployment is complex, and we would like to see automated scripts. It needs to incorporate performance insights."
"AWS support is decent, but it's not as good as before. Sometimes, we get junior staff who are unable to answer our questions. It also depends on the support team you get. Support based in Europe and Australia is better than US support. For example, European support is quick to deliver the right answer. US support handles routine maintenance issues, and it's mostly junior staff who don't know the product well."
"A few areas that we have noticed as being problematic with the MongoDB Atlas include user access to the platform. Currently, it is difficult to restrict and control what actions a user can perform within the solution, which poses a challenge from an internal auditing perspective."
"We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."
"There are some features that could be useful for the customers I work with, which are related to migration from on-prem to the cloud."
"The speed when combining two documents is concerning."
"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."
"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"If it could be cheaper, that would make us happy."
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 41 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.
