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Amazon RDS vs MongoDB Atlas vs Oracle Database as a Service comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
3.4
Amazon RDS reduces infrastructure costs, increases agility, offers rapid ROI with pay-as-you-go benefits, and eliminates the need for DBAs.
Sentiment score
8.0
Users achieved strong ROI from MongoDB Atlas through cost savings, fast performance, and efficient cloud-based data management despite high support costs.
Sentiment score
7.2
Oracle Database as a Service offers productivity and security benefits, despite high costs, with strong preference in regions like APAC.
In Bangladesh, digital banking is becoming prominent within a couple of years, so all banking systems will be digital.
 

Customer Service

Sentiment score
7.9
Amazon RDS support receives mixed feedback, with quality depending on support level, but cost concerns exist, especially for startups.
Sentiment score
7.0
MongoDB Atlas customer service is praised for knowledgeable premium support, with faster responses in higher-tier plans despite some cost concerns.
Sentiment score
8.3
Oracle Database support is responsive but needs better communication, efficiency, multilingual resources, and support team segmentation.
The documentation is quite good.
The official AWS technical support for Amazon RDS is helpful, providing 24/7 assistance for all business support cases with tools such as the health dashboard and AWS trusted advisor.
I would rate the support from AWS very high, maybe nine, but it also depends on what kind of support you have signed in your contract, whether the premium support or the standard support.
I have used them sometimes, even recently, and found the feedback to be spot on our needs.
The features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
For premium support, I would rate the support of MongoDB Atlas a nine.
Oracle provides expert support globally, not just in South Asia -- also in Europe and America.
 

Scalability Issues

Sentiment score
8.4
Amazon RDS is praised for scalable features, though some note limited autoscaling; supports significant growth for varying demands.
Sentiment score
7.6
MongoDB Atlas effectively scales from gigabytes to terabytes, handling thousands of users, though shard management can be challenging.
Sentiment score
6.6
Oracle Database as a Service is highly scalable, supporting numerous users and servers, but scaling costs could improve.
Its automated scaling, both in storage and instances, is vital as it eliminates manual interventions.
The installation of Amazon RDS is quite easy and quite scalable.
Despite being a strong feature, scalability could be improved due to the lack of full functionality in autoscaling.
It's very much scalable, and I would rate scalability a nine.
MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle.
 

Stability Issues

Sentiment score
8.2
Amazon RDS is widely praised for stability, with high ratings; occasional disruptions occur but recovery is supported by automated snapshots.
Sentiment score
7.9
MongoDB Atlas is highly reliable, efficiently handling workloads with automatic updates, despite minor interface issues, and is user-trusted.
Sentiment score
7.1
Oracle Database as a Service is praised for its strong stability, reliability, and smooth integration, despite some scalability concerns.
Amazon RDS is very stable when deployed correctly across different zones with the right configurations.
It is a stable product overall, with very few issues.
Amazon RDS is quite stable, and the SLAs are sort of 99.98%.
When it comes to OLTP transactions, its performance declines.
The stability of the product is very high.
The solution is stable, resilient, and doesn't crash under pressure.
 

Room For Improvement

Amazon RDS faces challenges with integration, customization, scalability, support, and requires enhancements in performance, security, and management features.
MongoDB Atlas users seek UI improvements, cost reduction, better integration, scalability, and enhanced security, training, APIs, and support.
Oracle Database as a Service needs complexity reduction, enhanced integration, improved usability, security, automation, and flexible licensing to boost adoption.
Simplifying migration for those transitioning from on-premises to cloud environments.
Having native Change Data Capture (CDC) support would be beneficial, allowing for seamless integration with Kafka without relying on external technologies like Debezium.
Enabling performance insights to view query formats where the bottlenecks occur, identifying the fixes, slow queries, and missing indexes.
Enhancing capabilities for data pipelines and visualization dashboards.
MongoDB Atlas should support containerization.
With the advent of generative AI, adding functionality where current administrative activities could be automated would be beneficial.
It would be beneficial if Oracle could offer features similar to those provided by open-source platforms like Postgres, such as a multi-core-based platform and a shared node database.
 

Setup Cost

Amazon RDS is costly yet cost-efficient when optimized, with mixed reviews on pricing predictability and competitor comparisons.
Enterprise buyers find MongoDB Atlas pricing acceptable, yet opinions on cost-effectiveness differ; the free tier enhances its appeal.
Oracle Database as a Service is costly, includes licenses and support, with high technical support quality but added fees.
While Azure provides great services, long-term plans on AWS are 20% to 30% cheaper.
I find the pricing of Amazon RDS fair, as AWS operates on a pay-for-what-you-use model.
I rate the price for Amazon as eight on a scale from one to ten.
For our service, it was around 300 to 600 euros per month, which was acceptable for our customers.
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
 

Valuable Features

Amazon RDS provides scalable, secure managed databases with automation and supports engines like MySQL and PostgreSQL, streamlining DevOps tasks.
MongoDB Atlas offers speed, flexibility, easy scalability, and advanced features for efficient data management, enhancing performance and reducing costs.
Oracle Database as a Service is praised for its multitenancy, scalability, security, analytics, and seamless integration with Oracle applications.
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.
Database management is effective in Amazon RDS because it offers automated backups, high availability, read replicas, and support from multiple database engineers, while also providing security, monitoring and metrics, scalability.
In some cases, we are using the read replica feature, and it does improve our application performance because we do not allow any downstream system to come to the main storage or main databases and perform a query.
I find MongoDB Atlas highly scalable and easy to use, with very good support.
It is particularly useful for unstructured and semi-structured data because of its performance in these areas.
The most valuable features of MongoDB Atlas in handling large data volumes include collection size and its NoSQL database capabilities.
The encryption level, resilience, and secure features from both clients, particularly the resilience aspect of Oracle Database, are highly valuable.
The valuable features include availability, agility, and scalability.
 

Mindshare comparison

As of October 2025, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 19.1%, down from 25.2% compared to the previous year. The mindshare of MongoDB Atlas is 14.0%, down from 16.2% compared to the previous year. The mindshare of Oracle Database as a Service is 7.8%, down from 8.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
Amazon RDS19.1%
MongoDB Atlas14.0%
Oracle Database as a Service7.8%
Other59.1%
Database as a Service (DBaaS)
 

Featured Reviews

Samuel Ebite - PeerSpot reviewer
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.
Laksiri Bala - PeerSpot reviewer
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.
Duy AnhMai - PeerSpot reviewer
Offers security and good performance
Price-wise, the tool is expensive, and I feel it is an area where improvements are needed. Oracle Database as a Service is not as popular as other tools because we use AWS and GCP. Oracle is okay in terms of performance for banking businesses and some big companies. As I use the tool in Heineken, I know Oracle is an okay security solution. We use and deploy some applications and features from Oracle that are better than what others offer. The data in the tool is actually stored in the production part, so it is always kept a secret. I don't think that AI has been integrated into the tool. The AI used by Oracle is not as strong as that used by AWS. I recommend the tool to others, especially banking, finance, and insurance companies where the security needs to be better. There is maintenance for the tool required, but I don't know which company does it for our organization. I rate the tool a ten out of ten.
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
12%
Manufacturing Company
7%
University
7%
Computer Software Company
16%
Financial Services Firm
14%
Manufacturing Company
9%
Comms Service Provider
7%
Financial Services Firm
21%
Computer Software Company
11%
Retailer
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise14
Large Enterprise23
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise10
Large Enterprise20
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise18
Large Enterprise31
 

Questions from the Community

What do you like most about Amazon RDS?
The product's installation phase is easy.
What needs improvement with Amazon RDS?
I don't really see any disadvantages of Amazon RDS. With Oracle, I think AWS doesn't provide the RAC stability. If yo...
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 node...
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.
What needs improvement with MongoDB Atlas?
There is nothing about MongoDB Atlas I would like to improve or any weak points at this time. I have not thought thro...
What do you like most about Oracle Database as a Service?
It has significantly enhanced our application development process by introducing substantial time savings and streaml...
What needs improvement with Oracle Database as a Service?
With the advent of generative AI, adding functionality where current administrative activities could be automated wou...
 

Also Known As

RDS
Atlas, MongoDB Atlas (pay-as-you-go)
Oracle DBaaS, Oracle Database Cloud
 

Overview

 

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.
Solution-Soft, DX Marketing, Suredell and Partners, Frontiers, SettleOurEstate.com, Demand Analysis Ltd, endlich IT & Projekt Service OHG
Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, MongoDB and others in Database as a Service (DBaaS). Updated: September 2025.
868,759 professionals have used our research since 2012.