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 initial setup is straightforward, and technical support is good."
"The Amazon RDS features I found most valuable are snapshots and automatic backups."
"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 IT is easy to set up, which is the best."
"It makes it easy to administer the database. It helps to scale your database by providing Read Replicas, which reduce transaction time. It is highly available and durable which helps in disaster recovery and management."
"The solution is good for on-premise deployments."
"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 features of Amazon RDS are its scalability, reliability, and intelligence."
"MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for."
"The solution is easily scalable and manageable. Tools can be easily added to the solution."
"Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas."
"The initial setup of MongoDB Atlas is straightforward...It is a scalable solution."
"You can start quickly on projects which allow you to store many things."
"It is nice because our developers create tables whenever they need to sync data."
"The product allows us to easily set up and store large amounts of unstructured data."
"As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it."
"The support team of Amazon RDS provides us with some links to go through whenever we face some issues, but it doesn't work for us."
"Amazon RDS should have a more user-friendly graphical user interface and include better database management options."
"Technical support could be better."
"It would be helpful if they made it easier to migrate from an existing on-premises solution to the cloud-based service."
"There are a few aspects of database management that have room for improvement. There are a few parameters in the solution that are a bit unclear at our end as it's not understandable."
"The product should support new databases."
"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."
"The product must add more older versions of the database engines."
"Customer support needs improvement knowledge-wise."
"I would like the solution to offer more integration capabilities since it is an area where the solution lacks."
"We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."
"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"When I edit a document from a document, a lot of clicking is involved, like changing data type manually from a drop-down. It would be super nice if I could just edit the document in a JSON format. The JSON-based document editor should have a multi-language feature. Also, it would be great if there was a connect option from Google Looker Studio."
"The price of the solution should be reduced."
"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."
"During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing."
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.