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 very easy to set up initially."
"The most valuable features of Amazon RDS are its scalability, reliability, and intelligence."
"The most valuable aspect of Amazon RDS is it is on the cloud."
"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 time to install or set up a database environment is very fast."
"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."
"Amazon RDS is easy to manage, and it has customizable performance, high availability, and duality."
"The solution is easy to use, the console is user-friendly, and overall a well-designed solution. It takes a complex system and makes it easy to understand. Additionally, the solution is always advancing and they provide a roadmap into what is coming in the future."
"The product allows us to easily set up and store large amounts of unstructured data."
"MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for."
"The initial setup of MongoDB Atlas is straightforward...It is a scalable solution."
"Its most valuable features are high availability and zero maintenance."
"The auto-scaling feature is the most valuable aspect."
"I am impressed with the tool's integrations."
"There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple features, including built-in backup, all under the same roof, without the need for external tools."
"The solution could improve by adding a sandbox environment and more security."
"The product should support new 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."
"In the next release, it would be great to see RDS provide connection pooling out of the box."
"Technical support could be better."
"The Performance Monitor they have is a little clanky, at least in regards to the UI."
"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."
"I would like to see improvements in the tool's automatic restart."
"The product's data aggregation feature needs to work faster."
"If it could be cheaper, that would make us happy."
"The initial setup is not too difficult but can be somewhat tricky."
"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."
"The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."
"We need improved query performance."
"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"Customer support needs improvement knowledge-wise."
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.