MongoDB Atlas vs SQL Azure comparison

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6,231 views|3,396 comparisons
97% willing to recommend
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11,317 views|5,249 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between MongoDB Atlas and SQL Azure based on real PeerSpot user reviews.

Find out in this report how the two Database as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed MongoDB Atlas vs. SQL Azure Report (Updated: March 2024).
767,319 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
"I am impressed with the tool's integrations.""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 most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering.""The most valuable feature is the schemaless architecture.""You can start quickly on projects which allow you to store many things.""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.""It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas.""The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality."

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"SQL Azure is reliable and scales well.""Its easy usage is the most valuable.""The best thing about the solution is that it is tightly integrated with Azure Functions and Azure App Service, making it easy to deploy to the cloud.""We have come from hosting on-premise for customers, or they've done it themselves with SQL. We've now taken a cloud offering for the equivalent services of standard database management and the inbuilt backup and restore offerings. The scalability is probably the biggest feature that we are benefiting from by being in the cloud.""What is really helpful about the Azure SQL is that when we have a problem with our sound queries, we can trade information about what indexes we should create on tables. It's really helpful for me and also for developers.""SQL Azure is good with transactional systems.""The most valuable feature of SQL Azure is centralized authentication because I'm using the domain, user name, and password, for Microsoft 365 account with multifactor authentication and the security has been working well.""The most valuable feature is PolyBase."

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Cons
"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model.""The replica side, like the venue, can be improved.""I am still new with it, but since I mentioned that I'm using this product for only the last six months and my experience with this product is good thus far, on a scale of one to ten, I would give MongoDB Atlas a six.""We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that.""The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS.""It would be better if there were more integration capabilities with other products.""The price of the solution should be reduced.""The initial configuration fine-tuning for performance can be time-consuming."

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"The management is entirely controlled by Microsoft, so there are some restrictions.""The price is a little higher.""The configuration is the area that is most cumbersome.""This solution would be improved with the inclusion of better self-service tools.""We have a very small database running on SQL Azure. We have not been able to load bigger systems on it. It is still not something that is feasible. All our heavy-duty systems are on SAP, and it should have more compatibility with other vendors such as SAP. Its price can definitely be lower. It is pretty pricey.""The product could be more competitive in terms of features, security, and scalability.""The pricing is very high.""The solution lacks feedback tools."

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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 →

  • "We have a three-year contract. The cost was somewhere around $70-80,000 for the original deployment, which was about two years ago"
  • "I'm not sure what the exact price is, but it's a moderate amount. It's not too expensive."
  • "The licensing for this solution is based on subscription."
  • "We pay less than $1000 monthly in licensing fees. There are no additional costs."
  • "It is expensive for us. We are looking for something less expensive and thinking of migrating the whole system."
  • "It is reasonable."
  • "It is quite expensive. I would definitely recommend not using the pay-as-you-go model because this will just mean all your money will go to Microsoft. So, really make sure to control resource usage as much as possible."
  • "It's reasonably priced and when you compare it with other products in the cloud environment, it's cheaper."
  • More SQL Azure Pricing and Cost Advice →

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    Questions from the Community
    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.
    Top Answer:The automated scalability feature of SQL Azure has proven to be highly beneficial, particularly when deployed in the cloud.
    Top Answer:I recommend considering a pay-as-you-go pricing model initially.
    Top Answer:The product's pricing needs improvement.
    Ranking
    3rd
    Views
    6,231
    Comparisons
    3,396
    Reviews
    28
    Average Words per Review
    467
    Rating
    8.5
    2nd
    Views
    11,317
    Comparisons
    5,249
    Reviews
    35
    Average Words per Review
    383
    Rating
    8.5
    Comparisons
    Also Known As
    Atlas
    Learn More
    Overview

    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.

    Microsoft Azure SQL Database is a relational database-as-a-service that delivers predictable performance, scalability, business continuity, data protection, and near-zero administration to cloud developers and solution architects. This is the deep technical library for Azure SQL Database.
    Sample Customers
    Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.
    adnymics GmbH, LG CNS, Centrebet, netfabb GmbH, MedPlast, Accelera Solutions, Sochi Organizing Committee, realzeit GmbH
    Top Industries
    REVIEWERS
    Computer Software Company41%
    Financial Services Firm14%
    Comms Service Provider14%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Comms Service Provider7%
    Educational Organization6%
    REVIEWERS
    Computer Software Company20%
    Financial Services Firm15%
    Comms Service Provider13%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Educational Organization61%
    Computer Software Company5%
    Financial Services Firm5%
    Retailer4%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise18%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise63%
    REVIEWERS
    Small Business48%
    Midsize Enterprise13%
    Large Enterprise39%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise64%
    Large Enterprise25%
    Buyer's Guide
    MongoDB Atlas vs. SQL Azure
    March 2024
    Find out what your peers are saying about MongoDB Atlas vs. SQL Azure and other solutions. Updated: March 2024.
    767,319 professionals have used our research since 2012.

    MongoDB Atlas is ranked 3rd in Database as a Service with 41 reviews while SQL Azure is ranked 2nd in Database as a Service with 90 reviews. MongoDB Atlas is rated 8.4, while SQL Azure is rated 8.6. The top reviewer of MongoDB Atlas writes "Allows our business to analyze social media data with machine learning and store the data in MongoDB". On the other hand, the top reviewer of SQL Azure writes "The SQL connector effectively syncs data to databases". MongoDB Atlas is most compared with Amazon RDS, Google Cloud SQL, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer, whereas SQL Azure is most compared with Amazon RDS, Google Cloud SQL, Oracle Database as a Service, IBM Db2 on Cloud and Google Cloud Spanner. See our MongoDB Atlas vs. SQL Azure 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.