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 8.3. Amazon Web Services (AWS) holds a 24.7% mindshare in DS, compared to MongoDB’s 14.2% 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

4,861 Views
4,099 Comparison Views

98% willing to recommend

MongoDB Atlas

Read 49 MongoDB Atlas reviews

3,759 Views
2,307 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 (7th)

Mindshare comparison

As of May 2025, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 24.7%, down from 27.7% compared to the previous year. The mindshare of MongoDB Atlas is 14.2%, down from 15.1% 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 is a scalable solution."

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

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

"The most valuable feature of Amazon RDS is its performance."

"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."

"I recommend RDS because it makes your life super easy."

"I found it to be a stable solution."

"The product's initial setup phase is totally easy."

More Amazon RDS pros

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

"Administering the solution is easy."

"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."

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

"I rate MongoDB Atlas a nine out of ten."

"I find MongoDB Atlas highly scalable and easy to use, with very good support."

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

"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."

More MongoDB Atlas pros

Cons

"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."

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

"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."

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

"Amazon cannot guarantee the stability of some extensions, and there is a need for different extensions to meet PCI requirements."

"They could provide better integration for the solution with Microsoft products."

"The security features could be improved."

"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."

More Amazon RDS cons

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

"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."

"Searching and browsing through the collection must be made easier."

"I would like a better dashboard. It could be made a bit more user friendly."

"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."

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

"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."

"Querying a dataset is not very intuitive, so I think that it can be improved."

More MongoDB Atlas cons

Pricing and Cost Advice

"if you don't know how to optimize and use your tool properly, the cost might hurt you."

"The price could be better."

"The solution's pricing needs improvement."

"The substantial initial credit and cost-effectiveness make Amazon an attractive option."

"The prices for different regions are different."

"The solution’s pricing could be cheaper."

"The price of Amazon RDS is reasonable."

"Amazon RDS could improve by reducing the price."

More Amazon RDS pricing and cost advice

"The price of MongoDB Atlas is highly affordable."

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

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

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

"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."

"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."

"It is an open-source platform."

"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."

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

15%

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 21% of the time

Oracle Database as a Service vs Amazon RDS

Compared 18% of the time

Microsoft Azure SQL Database vs Amazon RDS

Compared 15% of the time

Google Cloud Spanner vs Amazon RDS

Compared 5% of the time

Oracle Exadata Cloud at Customer vs Amazon RDS

Compared 5% 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 11% of the time

MongoDB vs MongoDB Atlas

Compared 7% of the time

Upstash vs MongoDB Atlas

Compared 6% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 5% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Amazon RDS

May 2025

Download Amazon RDS product report

Buyer's Guide

MongoDB Atlas

May 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

Find out what your peers are saying about Amazon RDS vs. MongoDB Atlas and other solutions. Updated: April 2025.

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