Amazon RDS vs MongoDB Atlas comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
9,253 views|7,505 comparisons
97% willing to recommend
MongoDB Logo
6,216 views|3,418 comparisons
97% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Sep 8, 2022

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.

  • Ease of Deployment: For the most part, users of both Amazon RDS and MongoDB Atlas feel that they are relatively easy to deploy.
  • Features: Users of both products feel that they are stable and scalable.

    Users of Amazon RDS find its replication features to be one of its more valuable features. However, they would like to see its integration capabilities improve.

    Reviewers of MongoDB Atlas feel that its integration features are one of its most useful. However, they say that its administration capabilities could be more user friendly.

  • Pricing: For the most part, users of both products feel that they are expensive to purchase.
  • Service and Support: For the most part, users of Amazon RDS find their technical support to be pretty effective. Reviewers of MongoDB Atlas find the technical support that it provides to be first rate.

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.

To learn more, read our detailed Amazon RDS vs. MongoDB Atlas Report (Updated: May 2024).
772,649 professionals have used our research since 2012.
Featured 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 lightweight and flexible.""Amazon RDS is very easy to use.""The time to install or set up a database environment is very fast.""The dashboard and performance are the most valuable features of Amazon RDS.""The solution is good for on-premise deployments.""The Amazon RDS features I found most valuable are snapshots and automatic backups.""The IT is easy to set up, which is the best.""Amazon RDS is a scalable solution."

More Amazon RDS Pros →

"It has a flexible integration with our easy API.""The solution has a very intuitive user interface.""The product provides quick transaction service, high availability, and efficient scalability features.""Administering the solution is easy.""The auto-scaling feature is the most valuable aspect.""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 features, including built-in backup, all under the same roof, without the need for external tools.""The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases.""Scalability is its most valuable feature, as it is pretty simple."

More MongoDB Atlas Pros →

Cons
"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.""The only thing that needs improvement would be the pricing of the solution.""With my limited experience, I have noticed that documentation management could be improved. It could be better.""Sometimes the interface has many moving parts, which is a concern.""One notable improvement that could enhance the database management experience, particularly during migration scenarios, is the accessibility of the root user.""It would be helpful if they made it easier to migrate from an existing on-premises solution to the cloud-based service.""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.""The product must add more older versions of the database engines."

More Amazon RDS Cons →

"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better.""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 replica side, like the venue, can be improved.""I would like a more comprehensive dashboard.""It would be better if there were more integration capabilities with other products.""The product's data aggregation feature needs to work faster.""The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work.""The tool's implementation should be made easier."

More MongoDB Atlas Cons →

Pricing and Cost Advice
  • "By using a combination of Reserve Instances and On-Demand pricing, you can reduce the cost."
  • "The cost of using this solution is similar to that of having your own data center."
  • "The price could be better."
  • "It is less expensive than SQL Server. We pay based on the usage on a monthly basis."
  • "We are paying for a service license."
  • "Licensing fees are paid on an annual basis."
  • "if you don't know how to optimize and use your tool properly, the cost might hurt you."
  • "Amazon RDS could improve by reducing the price."
  • More Amazon RDS Pricing and Cost Advice →

  • "The pricing and licensing is great."
  • "The purchasing process through the AWS Marketplace was very good."
  • "In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."
  • "It is too expensive. They need to work on this."
  • "The pricing is good. We originally chose it over DynamoDB because of the pricing."
  • "Pricing could always be better."
  • "We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."
  • "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."
  • More MongoDB Atlas Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Database as a Service solutions are best for your needs.
    772,649 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The product's installation phase is easy.
    Top Answer:The product is expensive. If Cisco needs two servers, Amazon uses four.
    Top Answer:The product's high price is an area of concern where improvements are required.
    Top Answer: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… more »
    Top Answer:The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones.
    Top Answer:The scalability aspect is quite difficult to implement. It should be much easier for the end user. You cannot use less than two nodes; you have to use at least two nodes, and they categorize their… more »
    Ranking
    1st
    Views
    9,253
    Comparisons
    7,505
    Reviews
    32
    Average Words per Review
    380
    Rating
    8.4
    3rd
    Views
    6,216
    Comparisons
    3,418
    Reviews
    29
    Average Words per Review
    473
    Rating
    8.5
    Comparisons
    Also Known As
    RDS
    Atlas
    Learn More
    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.

    MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.

    A key advantage of MongoDB Atlas is flexibility - it makes it easy to adjust storage and computing resources on the fly. This scalability ensures optimal performance even for workloads with fluctuating demands, without overprovisioning infrastructure. You only pay for what they use. Atlas also enables deploying globally distributed databases that improve data access speeds and provide built-in redundancy for high availability.

    On the security front, Atlas offers robust encryption, access controls, and complies with regulations like GDPR and HIPAA out-of-the-box. Its real-time analytics and full-text search empower businesses to quickly gain insights from data to drive better decisions. The document-oriented data model is versatile for handling varied data types - ideal for modern applications dealing with unstructured data.

    Additional Atlas capabilities include simplified deployment, built-in disaster recovery, reduced time-to-market and costs, increased agility and scalability. It can power web, mobile, IoT and other applications. With extensive documentation and an active community, getting started with Atlas is straightforward even for lean teams.

    Technical Perspectives:

    • MongoDB Atlas utilizes a document data model, which is intuitive and flexible, allowing faster evolution in response to changing business requirements. This model eliminates the need for expensive JOINs and ORM layers, improving performance and simplifying data handling​​.
    • Traditional relational databases often require complex schema designs and ORM layers, adding to the workload of developers and DBAs. MongoDB Atlas offers a more streamlined approach with its document model, reducing the complexity and improving agility​​.

    Peer Reviews and Practical Insights:

    • The solution is highly rated for its robustness, ease of deployment, and sustainability.
    • Technical support and pricing are areas highlighted for improvement.
    • Comparisons with other database solutions like Microsoft SQL Server suggest that MongoDB Atlas is cost-effective, especially considering enterprise-level offerings​​.
    • Local support and escalation processes are mentioned, indicating a robust support structure for troubleshooting​​.

    In conclusion, MongoDB Atlas presents a versatile and efficient cloud database solution, particularly favored for its managed services, scalability, and security. The platform's ability to adapt to various application requirements, coupled with its intuitive document model, positions it as a strong contender in the cloud database market.

    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.
    Top Industries
    REVIEWERS
    Computer Software Company26%
    Financial Services Firm17%
    Government13%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company13%
    Retailer7%
    Manufacturing Company6%
    REVIEWERS
    Computer Software Company41%
    Comms Service Provider14%
    Financial Services Firm14%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm15%
    Comms Service Provider7%
    Educational Organization6%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise17%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise17%
    Large Enterprise60%
    REVIEWERS
    Small Business43%
    Midsize Enterprise17%
    Large Enterprise39%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise63%
    Buyer's Guide
    Amazon RDS vs. MongoDB Atlas
    May 2024
    Find out what your peers are saying about Amazon RDS vs. MongoDB Atlas and other solutions. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    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.

    See our list of best Database as a Service vendors.

    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.