Amazon RDS vs MongoDB Atlas comparison

Amazon Web Services (AWS) and MongoDB are both solutions in the Database as a Service (DBaaS) category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.3, while MongoDB is ranked #3 with an average rating of 8.4. Amazon Web Services (AWS) holds a 25.0% mindshare in DS, compared to MongoDB’s 14.5% mindshare. Additionally, 98% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 96% of MongoDB users who would recommend it.

Amazon RDS

Read 54 Amazon RDS reviews

5,264 Views
4,374 Comparison Views

98% willing to recommend

MongoDB Atlas

Read 48 MongoDB Atlas reviews

3,963 Views
2,403 Comparison Views

96% willing to recommend

Amazon RDS

MongoDB Atlas

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 12, 2024

Amazon RDS and MongoDB Atlas are two prominent database services. MongoDB Atlas has the upper hand in flexible schema design and horizontal scalability, while Amazon RDS is preferred for compatibility with various SQL databases and robust infrastructure.

Features: Amazon RDS offers automated backups, software patching, and read replicas. MongoDB Atlas includes auto-sharding, built-in data visualization tools, and real-time performance insights. MongoDB Atlas is dynamic for unstructured data, while Amazon RDS supports SQL databases.

Room for Improvement: Amazon RDS could enhance its interface and provide more flexibility in scaling. MongoDB Atlas needs more detailed documentation and better performance optimization options. MongoDB Atlas users seek better support resources, whereas Amazon RDS users want improved scaling efficiency.

Ease of Deployment and Customer Service: Amazon RDS is known for its straightforward deployment process and reliable support. MongoDB Atlas has a quick setup but mixed reviews on customer support. Users find Amazon RDS more consistent in customer service, although MongoDB Atlas offers faster deployment.

Pricing and ROI: Amazon RDS users report favorable setup costs and good ROI with predictable pricing. MongoDB Atlas has flexible pricing that can seem higher initially, but its performance and advanced features justify the cost.

To learn more, read our detailed Amazon RDS vs. MongoDB Atlas Report (Updated: April 2025).

Buyer's Guide

Amazon RDS vs. MongoDB Atlas

April 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon RDS

Ranking in Database as a Service (DBaaS)

2nd

Average Rating

8.2

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

MongoDB Atlas

Ranking in Database as a Service (DBaaS)

3rd

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (6th)

Mindshare comparison

As of April 2025, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 25.0%, down from 27.9% compared to the previous year. The mindshare of MongoDB Atlas is 14.5%, down from 14.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS)

Featured Reviews

Samuel Ebite

AICE Graduate at alx_africa

Ensure high availability with robust encryption and seamless backups

Amazon RDS provides data encryption using services like KMS, crucial for securing high-sensitive data and meeting compliance requirements such as HIPAA or PCI DSS. The best practices we've employed with RDS help design a well-architected framework, encompassing security, encryption, scalability with multi-availability zone deployment, and operational excellence with automated backups. RDS features, such as reserved instances, storage auto-scaling, monitoring with technologies like CloudWatch, and proxies, contribute to cost optimization. The solution enhances security with IAM authentication and offers high availability to end users.

Read full review

Laksiri Bala

DB Architect / Consultant at Virtusa Global

Room for improvement in data handling leads to enhanced cost-effective data management performance

It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The time to install or set up a database environment is very fast."

"Amazon RDS is easy to maintain and easy to deploy."

"It's a fully managed database, so that makes our life easier from the operational standpoint. That is the key, basically."

"Amazon RDS fulfills PCI requirements, which is a valuable feature for us."

"The scalability is the best, and I have no issues with the ability to scale."

"The initial setup is straightforward, and technical support is good."

"Amazon RDS is quite a well-managed and stable service...The initial setup was very easy."

"The Amazon RDS features I found most valuable are snapshots and automatic backups."

More Amazon RDS pros

"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."

"The solution is easily scalable and manageable. Tools can be easily added to the solution."

"MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."

"Administering the solution is easy."

"The initial setup is straightforward."

"As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it."

"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."

"The product is simple to use and enterprise-ready. It is also open-source."

More MongoDB Atlas pros

Cons

"One of the challenges of AWS RDS is that it doesn't support performance insight. So we need to write our own script or use third-party tools."

"As a customer of Amazon RDS, you don't have super-user privileges, and that is the only drawback 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."

"In the next release, it would be great to have access to core parameters to improve or tweak the performance."

"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."

"Amazon RDS should have a more user-friendly graphical user interface and include better database management options."

"The running cost could be improved."

"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."

More Amazon RDS cons

"In the past, MongoDB offered more features for free, but now it's quite limited. The free version is limited, and you need to pay extra to fully utilize it. The pricing could be improved."

"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."

"The price of the solution should be reduced."

"The product's data aggregation feature needs to work faster."

"I would like to have better performance for user experience with the solution."

"I am not an expert on what improvements could be made to MongoDB."

"MongoDB Atlas is effective for unstructured and semi-structured data, but when it comes to OLTP transactions, its performance declines."

"One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."

More MongoDB Atlas cons

Pricing and Cost Advice

"Amazon RDS could improve by reducing the price."

"Amazon RDS is not a very expensive solution."

"We are paying for a service license."

"The platform pricing is on the higher side, but given its capabilities and ease of use, it remains competitive."

"The price could be better."

"I would rate the tool's pricing an eight out of ten."

"It is less expensive than SQL Server. We pay based on the usage on a monthly basis."

"The price of Amazon RDS is reasonable."

More Amazon RDS pricing and cost advice

"The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments."

"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."

"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."

"MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model. Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which is expensive."

"We pay for a license."

"The pricing is acceptable for enterprise tier."

"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."

"I have seen the cost, and it was pretty cheap."

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

14%

University

Manufacturing Company

Computer Software Company

19%

Financial Services Firm

16%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Amazon RDS?

The product's installation phase is easy.

See all answers

What is your experience regarding pricing and costs for Amazon RDS?

The pricing for Amazon RDS is reasonable.

See all answers

What needs improvement with Amazon RDS?

One key improvement would be adding support for multi-storage paradigms, including columnar support, as seen in TiDB. The serverless support with Aurora could also be enhanced. Additionally, having...

See all answers

What do you like most about MongoDB Atlas?

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 featu...

See all answers

What is your experience regarding pricing and costs for MongoDB Atlas?

The pricing is quite acceptable and scalable. For our service, it was around 300 to 600 euros per month, which was acceptable for our customers. We could scale up for better performance and scale d...

See all answers

What needs improvement with MongoDB Atlas?

I am not an expert on what improvements could be made to MongoDB. The service is continually evolving with new features while maintaining reasonable pricing, making it attractive for developers.

See all answers

Comparisons

Google Cloud SQL vs Amazon RDS

Compared 23% of the time

Oracle Database as a Service vs Amazon RDS

Compared 17% of the time

Microsoft Azure SQL Database vs Amazon RDS

Compared 16% of the time

Google Cloud Spanner vs Amazon RDS

Compared 5% of the time

Oracle Exadata Cloud at Customer vs Amazon RDS

Compared 4% of the time

More Amazon RDS Competitors

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 16% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 13% of the time

MongoDB vs MongoDB Atlas

Compared 7% of the time

Upstash vs MongoDB Atlas

Compared 5% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 5% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Amazon RDS

April 2025

Download Amazon RDS product report

Buyer's Guide

MongoDB Atlas

March 2025

Download MongoDB Atlas product report

Also Known As

RDS

Atlas

Overview

Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks.

Amazon Web Services (AWS)

MongoDB Atlas offers a cloud-based database service known for speed, scalability, ease of use, and flexibility. Its robust features and advanced security measures support various business needs, making it ideal for unstructured data management.

MongoDB Atlas maximizes data handling capabilities by providing a seamless integration and high availability environment. The platform's schemaless architecture and rich query support make it suitable for complex data processing. With cloud-based infrastructure, deployment and maintenance are simplified, serving sectors such as healthcare, finance, and more. Organizations benefit from autoscaling, clustering, and APIs for effective project management. Continuous improvements in user experience, cost-effectiveness, query performance, and security are expected to meet evolving expectations.

What are the most important features?

Speed: Optimized for fast data handling and processing.
Scalability: Adapts to growing data needs without hassle.
Ease of Use: User-friendly interface for efficient navigation.
Flexibility: Supports unstructured data with ease.
Integration: Seamlessly connects with cloud environments.
High Availability: Ensures uninterrupted data access and operations.
Advanced Security: Protects data with robust security measures.
Schemaless Architecture: Enables dynamic data structure management.
Rich Query Support: Facilitates complex queries and analytics.

What benefits and ROI should be considered?

Easy Deployment: Streamlines the setup process in cloud environments.
Efficient Project Management: APIs and tools enhance workflow.
Cost-Effectiveness: Potential for more flexible pricing models.
Data Management: Automates backups and supports clustering.
Advanced Tools: Enables comprehensive data processing capabilities.

MongoDB Atlas is widely implemented in industries such as healthcare, finance, and technology. It serves applications requiring high availability and scalability, handling tasks from patient data management to real-time analytics. With its adaptable infrastructure, Atlas supports diverse use cases from IoT integration to transactional processing in cloud environments.

MongoDB

Sample Customers

Edmodo

Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.

Buyer's Guide

Amazon RDS vs. MongoDB Atlas

April 2025

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