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.
"The product solved our DevOps and admin problems."
"I found it to be a stable solution."
"The Amazon RDS features I found most valuable are snapshots and automatic backups."
"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."
"It is very easy to set up initially."
"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."
"Amazon RDS is very easy to use."
"For me, RDS is a great solution. I like that Amazon RDS is a very simple solution to implement and to start using."
"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."
"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."
"You can start quickly on projects which allow you to store many things."
"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."
"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."
"The initial setup is straightforward."
"It enables us to get work done quickly and get to our data."
"The Amazon RDS engine could provide features for additional databases, such as Db2. It could also provide support for other databases, such as NoSQL databases, DynamoDB, and Apache Cassandra. They could all stay under one hood."
"Amazon has a policy of automatically restarting the server every seven days."
"There are some advanced monitoring queries that we cannot execute because Amazon doesn't give admin privileges to the end users."
"A lot of the features are disabled by default. The solution should enable more features. I understand this could cause challenges to management for many clients using RDS, however."
"The product's high price is an area of concern where improvements are required."
"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."
"The solution's connectivity and response logs could be improved."
"If we do not keep track of our costs, we might face some problems."
"One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."
"I would like to have better performance for user experience with the solution."
"The initial configuration fine-tuning for performance can be time-consuming."
"The cost needs improvement."
"The tool's implementation should be made easier."
"I am still new with it, but since I mentioned that I'm using this product for only the last six months and my experience with this product is good thus far, on a scale of one to ten, I would give MongoDB Atlas a six."
"We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."
"The speed when combining two documents is concerning."
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.