Amazon RDS vs MongoDB Atlas comparison

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Amazon Web Services (AWS) Logo
9,454 views|7,642 comparisons
97% willing to recommend
MongoDB Logo
6,231 views|3,396 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: March 2024).
768,415 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 easy to maintain and easy to deploy.""It is easy to use, flexible, and powerful.""One of the most valuable features is that it is serverless, so we don't have to worry about scaling.""Relational databases excel in extensive normalization, eliminating data redundancy and efficiently structuring tables which leads to a clear and efficient relationship between tables using primary keys.""It is stable, scalable, and easy to deploy.""The product is very, very easy to use.""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.""Amazon RDS gives us the ability to select as many tools, replicas, regions, and zones as we want."

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"The product is user-friendly.""The product is simple to use and enterprise-ready. It is also open-source.""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.""The solution is easily scalable and manageable. Tools can be easily added to the solution.""The features that I have found most valuable include the very easy integrations. The integrations are fantastic. I have not faced any challenges from the integration standpoint.""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 stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality.""The most useful feature is the management of the backup."

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Cons
"The security features could be improved.""I would like to see improvements in the tool's automatic restart.""The only thing that needs improvement would be the pricing of the solution.""The Performance Monitor they have is a little clanky, at least in regards to the UI.""Currently, speaking of Microsoft SQL on RDS, you don't have a full option to be able to use it directly on RDS. So, it needs improvement.""The product should support new databases.""The product's high price is an area of concern where improvements are required.""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 →

"We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered.""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.""I would like to have better performance for user experience with the solution.""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 tool's implementation should be made easier.""It would be better if there were more integration capabilities with other products.""One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user.""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."

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 →

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    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:The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering.
    Top Answer:The real-time data visible within MongoDB Atlas is not accurate. If they can improve the UI that monitors real-time data. It's more impressive and more attractive. It could be more user-friendly.
    Ranking
    1st
    Views
    9,454
    Comparisons
    7,642
    Reviews
    33
    Average Words per Review
    373
    Rating
    8.5
    3rd
    Views
    6,231
    Comparisons
    3,396
    Reviews
    28
    Average Words per Review
    467
    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 Company27%
    Financial Services Firm18%
    Government14%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company13%
    Retailer7%
    Comms Service Provider6%
    REVIEWERS
    Computer Software Company41%
    Comms Service Provider14%
    Financial Services Firm14%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Comms Service Provider7%
    Educational Organization6%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise20%
    Large Enterprise39%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise16%
    Large Enterprise61%
    REVIEWERS
    Small Business41%
    Midsize Enterprise18%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise63%
    Buyer's Guide
    Amazon RDS vs. MongoDB Atlas
    March 2024
    Find out what your peers are saying about Amazon RDS vs. MongoDB Atlas and other solutions. Updated: March 2024.
    768,415 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 41 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.