MongoDB Atlas vs SQL Azure comparison

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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).
765,234 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
"It enables us to get work done quickly and get to our data.""The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality.""It has a flexible integration with our easy API.""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.""As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it.""The product is simple to use and enterprise-ready. It is also open-source.""It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas.""Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."

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"It is easily scalable, and it is faster than SQL Server. It is also less expensive than using SQL Server. It has the pay-as-you-go model, and the charges are based on the usage.""The reason we moved to the cloud was for the convenience of not having any physical hardware to maintain.""The most valuable feature is PolyBase.""The solution is a fairly mature product. It provides good stability.""Their technical support is the most valuable.""The backup features are the most valuable.""Its technical support team is good.""The most useful feature of Azure SQL is the queries for manipulating the data, such as the tables and the storage processors."

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Cons
"During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing.""Customer support needs improvement knowledge-wise.""The product's file storage documentation needs improvement.""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.""MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI.""I would like a more comprehensive dashboard.""MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model.""An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup."

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"The default 1433 port for communication should be customizable because most hacks or attacks are attempted when creating any application or database on the default port.""The product's pricing needs improvement.""It's not a feature, but the solution only offers a certain amount of memory and that's limiting. The scalability should be extended to more than two terabytes.""Azure SQL can improve by adding more machine learning features like other databases, such as Cassandra or Cosmos DB.""Its price could be better. It is expensive. I am not sure if Microsoft Master Data Services is included in this. If not, Master Data Services can be integrated with Azure SQL. I have only used Master Data Services on-premises.""It's a little bit limited in terms of functionality.""One of the nice features in Microsoft SQL Server is the SQL Server CLR, which we sometimes need to use to protect our procedures using C# or CLR. This is not available in the SQL Azure database.""Their availability in the Middle East and Asia regions needs to improve."

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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:I don't have any concerns about MongoDB Atlas pricing and licensing.
    Top Answer:There is room for improvement in the cost of certain features like encryption. The web console isn't very intuitive, especially for large data. The new feature, Cube, for BI needs better… more »
    Top Answer:One of the most valuable aspects is its seamless integration with Azure Data Factory.
    Top Answer:I find that they are relatively expensive, especially when compared to AWS, where the prices are notably lower.
    Top Answer:There is room for improvement regarding the pricing structure. It would be beneficial if the cost is reduced.
    Ranking
    3rd
    Views
    6,266
    Comparisons
    3,420
    Reviews
    27
    Average Words per Review
    468
    Rating
    8.6
    2nd
    Views
    11,611
    Comparisons
    5,481
    Reviews
    36
    Average Words per Review
    386
    Rating
    8.6
    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 Company6%
    Financial Services Firm5%
    Retailer4%
    Company Size
    REVIEWERS
    Small Business42%
    Midsize Enterprise16%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise15%
    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.
    765,234 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 88 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, Google Cloud Spanner and IBM Db2 on Cloud. 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.