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

"Amazon RDS makes it easier for me to manage databases compared to traditional databases like MongoDB or local host servers."

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

"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."

"Amazon RDS is lightweight and flexible."

"The solution is good for on-premise deployments."

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

More Amazon RDS pros

"MongoDB Atlas is a database that is quite fast, stable, and reliable."

"The auto-scaling feature is the most valuable aspect."

"It enables us to get work done quickly and get to our data."

"Being schemaless is what I like best about MongoDB Atlas."

"It can store data as a flat file, similar to a file system."

"MongoDB is a NoSQL tool."

"The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality."

"The product is user-friendly."

More MongoDB Atlas pros

Cons

"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 could improve the administration tools."

"The solution could improve by adding a sandbox environment and more security."

"The setup might be a bit challenging for multi-level applications."

"I like using Amazon RDS because it offers quick operations for me. However, there are times when understanding how to use some of the services can be challenging, even with documentation. If I could add a feature, I'd improve navigation for related services."

"Technical support could be better."

"The Performance Monitor they have is a little clanky, at least in regards to the UI."

"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."

More Amazon RDS cons

"The tool's implementation should be made easier."

"From an improvement standpoint, MongoDB can improve security."

"The initial configuration fine-tuning for performance can be time-consuming."

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

"The UI is not currently designed in a manner to make it possible for a non-technical person or a layman to update the database easily."

"The price of the solution should be reduced."

"The cost needs improvement."

"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."

More MongoDB Atlas cons

Pricing and Cost Advice

"On a scale from one to ten, where ten is the most expensive, and one is the cheapest, I rate the solution's pricing a seven out of ten."

"The solution is expensive."

"By using a combination of Reserve Instances and On-Demand pricing, you can reduce the cost."

"The solution is expensive."

"The product is expensive."

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

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

"The solution is fairly priced."

More Amazon RDS pricing and cost advice

"The solution is fairly priced. I rate the pricing a seven out of ten."

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

"It is too expensive. They need to work on this."

"The pricing is acceptable for enterprise tier."

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

"The solution is fairly priced."

"The purchasing process through the AWS Marketplace was very good."

"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."

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

15%

Comms Service Provider

Healthcare 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 price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.

See all answers

What needs improvement with MongoDB Atlas?

See all answers

Comparisons

Google Cloud SQL vs Amazon RDS

Compared 22% 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 12% of the time

MongoDB vs MongoDB Atlas

Compared 6% 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

April 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

Free Report: Amazon RDS vs. MongoDB Atlas

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