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Amazon DocumentDB (with MongoDB compatibility) vs. Azure SQL Database

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon DocumentDB (with MongoDB compatibility)

    Score5.1 out of 10
    N/AAmazon DocumentDB (with MongoDB compatibility) is presented by the vendor as a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB is designed to make it easy to store, query, and index JSON data.N/A

    Azure SQL Database

    Score8.5 out of 10
    N/AAzure SQL Database is Microsoft's relational database as a service (DBaaS).

    $0.50

    Per Hour

    Pricing
    Amazon DocumentDB (with MongoDB compatibility)Azure SQL Database
    Editions & Modules
    No answers on this topic
    2 vCORE
    $0.5044
    Per Hour
    6 vCORE
    $1.5131
    Per Hour
    10 vCORE
    $2.52
    Per Hour
    Offerings
    Pricing Offerings
    Amazon DocumentDB (with MongoDB compatibility)Azure SQL Database
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Amazon DocumentDB (with MongoDB compatibility)Azure SQL Database
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    17 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    16 Answers
    Happy with the feature set
    No answers on this topic
    94%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    No answers on this topic
    94%
    Implementation went as expected
    16 Answers
    Features
    Amazon DocumentDB (with MongoDB compatibility)Azure SQL Database
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Amazon DocumentDB (with MongoDB compatibility) and Azure SQL Database
    Feature
    Amazon DocumentDB (with MongoDB compatibility)
    -
    Ratings
    Azure SQL Database
    7.2
    32 Ratings
    16% below category average
    Automatic software patching00 Ratings6.330 Ratings
    Database scalability00 Ratings7.832 Ratings
    Automated backups00 Ratings7.832 Ratings
    Database security provisions00 Ratings8.832 Ratings
    Monitoring and metrics00 Ratings6.831 Ratings
    Automatic host deployment00 Ratings6.127 Ratings
    Best Alternatives
    Amazon DocumentDB (with MongoDB compatibility)Azure SQL Database
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Azure Database
    Score8.8 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon DocumentDB (with MongoDB compatibility)Azure SQL Database
    Likelihood to Recommend
    8.0
    (1 ratings)
    8.0
    (32 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.0
    (1 ratings)
    Usability
    -
    (0 ratings)
    8.5
    (5 ratings)
    Support Rating
    -
    (0 ratings)
    9.0
    (5 ratings)
    User Testimonials
    Amazon DocumentDB (with MongoDB compatibility)Azure SQL Database
    Likelihood to Recommend
    Amazon AWS
    AWS Document DB (with MongoDB compatibility) is well suited when for all the workloads due to its huge feature offerings which will reduce our operational overhead and due to that we can focus more on our WorkLoad rather than optimising and fine tuning Databases. Its Offerings are Advanced Monitoring, DB cluster Upgrades, Migration Assistant, High Availability, Fault Tolerance, Data Durability, Security, Storage Auto Scaling, Backup Restore policies.AWS Document DB (with MongoDB compatibility) some of the features that are there in some other services like MongoDB Atlas that offers vast amount of features plus Supports Multi Cloud while Deploying Database clusters, Immediate support to latest Mongo DB versions, Mobile & Edge Sync like Atlas Edge Sync, Freedom to choose Database deployment in Any top Public Cloud, Having more then 100 plus Monitoring and Telemetry metrics for index and schema recommendations, More Compatibility with MongoDB queries.
    Incentivized
    Read full review
    Microsoft
    We have found it's a great alternative for making older legacy applications work with online databases instead of only on-premises databases. We've converted over a dozen applications this way, and it has allowed our clients to have a distributed workforce using their applications without incurring the expense of a complete application rewrite.
    Incentivized
    Read full review
    Pros
    Amazon AWS
    • Amazon DocumentDB (with MongoDB compatibility) provides Auto scaling of cluster as a by default functionality through this we can focus on more on our applications end
    • Through AWS Document DB without much operation overhead we can configure for Database's high availability, Durability, Backup Restores policies, Advanced Monitoring, Security Parameters.
    • Also they can provide us a Guide for Database Migration from any Supported Mongo DB vendor to AWS Document DB.
    • Via AWS Document DB query Logging ( Profiling ) we can fine tune our database queries and hence improving our END to END Customer Experience and Product Enhancements.
    Incentivized
    Read full review
    Microsoft
    • Maintenance is always an issue, so using a cloud solution saves a lot of trouble.
    • On premise solutions always suffer from fragmented implementations here and there, where several "dba's" keep track of security and maintenance. With a cloud database it's much easier to keep a central overview.
    • Security options in SQL database are next level... data masking, hiding sensitive data where always neglected on premise, whereas you'll get this automatically in the cloud.
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • Give support for Latest Mongo DB versions available in market
    • AWS Document DB is limited up to 32 shards per cluster and 2 shards per Document DB instance and all within single region
    • Start supporting more numbers of Rich data types
    • Should have access to MongoDB experts who throw light on Cutting edge mongoDB features and integration consulting.
    Incentivized
    Read full review
    Microsoft
    • One needs to be aware that some T-SQL features are simply not available.
    • The programmatic access to server, trace flags, hardware from within Azure SQL Database is taken away (for a good reason).
    • No SQL Agent so your jobs need to be orchestrated differently.
    • The maximum concurrent logins maybe an unexpected problem.
    • Sudden disconnects.
    • The developers and admin must study the capacity and tier usage limits https://docs.microsoft.com/en-us/azure/azure-subscription-service-limits otherwise some errors or even transaction aborts never seen before can occur.
    • Only one Latin Collation choice.
    • There is no way to debug T-SQL ( a big drawback in my point of view).
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    No answers on this topic
    Microsoft
    This is best solution as a DBA one could expect from a service provider and as a cloud service, it removes all your hassles.
    Incentivized
    Read full review
    Usability
    Amazon AWS
    No answers on this topic
    Microsoft
    The interfaces are intuitive once you are familiar with all the functions. The ability to use different tools to interact with the platform, such as directly via a browser or code editors such as VS Code or Visual Studio is a great option and allows for integrating withn the project and other testing and developing tools.
    Incentivized
    Read full review
    Support Rating
    Amazon AWS
    No answers on this topic
    Microsoft
    We give the support a high rating simply because every time we've had issues or questions, representatives were in contact with us quickly. Without fail, our issues/questions were handled in a timely matter. That kind of response is integral when client data integrity and availability is in question. There is also a wealth of documentation for resolving issues on your own.
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    No answers on this topic
    Microsoft
    We moved away from Oracle and NoSQL because we had been so reliant on them for the last 25 years, the pricing was too much and we were looking for a way to cut the cord. Snowflake is just too up in the air, feels like it is soon to be just another line item to add to your Azure subscription. Azure was just priced right, easy to migrate to and plenty of resources to hire to support/maintain it. Very easy to learn, too.
    Incentivized
    Read full review
    Return on Investment
    Amazon AWS
    • Great Customer Experience as DB queries are fine tuned
    • Less Operational Overhead to manage and take care of the Database
    • Automatic applying of Small patches
    Incentivized
    Read full review
    Microsoft
    • Perfect for small and medium databases, being very cost effective.
    • As a Platform as a Service, there is no concern about patches, upgrades and end of life.
    • Be aware of security and network capabilities. The service cannot run in the VNET as Azure Virtual Machines do.
    Read full review
    ScreenShots

    Amazon DocumentDB (with MongoDB compatibility) Screenshots

    Screenshot of Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDBScreenshot of Creating an Amazon DocumentDB clusterScreenshot of Scaling Amazon DocumentDB