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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Microsoft Azure

    Score8.5 out of 10
    N/AMicrosoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.

    $29

    per month

    MongoDB

    Score8.8 out of 10
    N/AMongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

    $0.10

    million reads

    Pricing
    Microsoft AzureMongoDB
    Editions & Modules
    Developer
    $29
    per month
    Standard
    $100
    per month
    Professional Direct
    $1000
    per month
    Basic
    Free
    per month
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    Offerings
    Pricing Offerings
    Microsoft AzureMongoDB
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsThe free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.Fully managed, global cloud database on AWS, Azure, and GCP
    More Pricing Information
    Community Pulse
    Microsoft AzureMongoDB
    Considered Both Products
    Microsoft
    Chose Microsoft Azure
    Azure is an ideal platform for disaster recovery and backup. It is very flexible because of its site regeneration capabilities and other features. All of our data can be backup, regardless of the language or operating system. Azure’s inherent flexibility comes from its status …
    Incentivized
    Chose Microsoft Azure
    The most common alternatives are Amazon Web Services and Google Cloud Platform. AWS is known for its non-existent customer support and abysmal documentation - Azure is clearly better on both fronts. Google Cloud Platform is a solid product, but in my experience Azure Functions …
    Incentivized
    MongoDB
    Chose MongoDB
    The environment I work in is somewhat unique in that we use both MySQL and MongoDB. However, each is used for specific purposes that the other is not well suited for. MongoDB is not a relational database like MySQL, so it serves as the perfect place to dump key bits of data for …
    Incentivized
    Chose MongoDB
    Mongo is very easy to use and have a low learning path
    Incentivized
    Chose MongoDB
    MongoDB's interface is extremely intuitive and allows [you to] come up from no knowledge to a working deployment with no effort,
    even without a background in the NoSQL world.
    Incentivized
    Key User Insights
    Would buy again
    92%
    Would buy again
    34 Answers
    100%
    Would buy again
    12 Answers
    Delivers good value for the price
    94%
    Delivers good value for the price
    31 Answers
    100%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    95%
    Happy with the feature set
    35 Answers
    100%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    89%
    Lived up to sales and marketing promises
    24 Answers
    100%
    Lived up to sales and marketing promises
    9 Answers
    Implementation went as expected
    94%
    Implementation went as expected
    34 Answers
    100%
    Implementation went as expected
    12 Answers
    Features
    Microsoft AzureMongoDB
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Microsoft Azure and MongoDB
    Feature
    Microsoft Azure
    8.4
    27 Ratings
    2% above category average
    MongoDB
    -
    Ratings
    Service-level Agreement (SLA) uptime8.126 Ratings00 Ratings
    Dynamic scaling8.725 Ratings00 Ratings
    Elastic load balancing8.624 Ratings00 Ratings
    Pre-configured templates8.225 Ratings00 Ratings
    Monitoring tools8.326 Ratings00 Ratings
    Pre-defined machine images8.424 Ratings00 Ratings
    Operating system support8.926 Ratings00 Ratings
    Security controls8.626 Ratings00 Ratings
    Automation8.224 Ratings00 Ratings
    NoSQL Databases
    Comparison of NoSQL Databases features of Microsoft Azure and MongoDB
    Feature
    Microsoft Azure
    -
    Ratings
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Performance00 Ratings10.039 Ratings
    Availability00 Ratings10.039 Ratings
    Concurrency00 Ratings10.039 Ratings
    Security00 Ratings10.039 Ratings
    Scalability00 Ratings10.039 Ratings
    Data model flexibility00 Ratings10.039 Ratings
    Deployment model flexibility00 Ratings10.038 Ratings
    Best Alternatives
    Microsoft AzureMongoDB
    Small Businesses
    IBM Cloud Object Storage
    Score9 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Medium-sized Companies
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    SAP on IBM Cloud
    Score9 out of 10
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Microsoft AzureMongoDB
    Likelihood to Recommend
    8.7
    (96 ratings)
    10.0
    (79 ratings)
    Likelihood to Renew
    10.0
    (17 ratings)
    10.0
    (67 ratings)
    Usability
    8.3
    (36 ratings)
    10.0
    (15 ratings)
    Availability
    6.8
    (2 ratings)
    9.0
    (1 ratings)
    Support Rating
    9.0
    (27 ratings)
    9.6
    (13 ratings)
    Implementation Rating
    8.0
    (2 ratings)
    8.4
    (2 ratings)
    User Testimonials
    Microsoft AzureMongoDB
    Likelihood to Recommend
    Microsoft
    Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
    Read full review
    MongoDB
    If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
    Incentivized
    Read full review
    Pros
    Microsoft
    • Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
    • You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
    • The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
    • The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
    Incentivized
    Read full review
    MongoDB
    • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
    • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
    • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
    Incentivized
    Read full review
    Cons
    Microsoft
    • The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
    • The documentation needs to be improved, and some advanced configuration options require research and experimentation.
    • Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
    Read full review
    MongoDB
    • An aggregate pipeline can be a bit overwhelming as a newcomer.
    • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
    • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
    Incentivized
    Read full review
    Likelihood to Renew
    Microsoft
    Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
    Read full review
    MongoDB
    I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
    Incentivized
    Read full review
    Usability
    Microsoft
    As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
    Incentivized
    Read full review
    MongoDB
    NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
    Incentivized
    Read full review
    Reliability and Availability
    Microsoft
    It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators
    Incentivized
    Read full review
    MongoDB
    No answers on this topic
    Support Rating
    Microsoft
    We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
    Incentivized
    Read full review
    MongoDB
    Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
    Incentivized
    Read full review
    Implementation Rating
    Microsoft
    As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
    Read full review
    MongoDB
    While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
    Incentivized
    Read full review
    Alternatives Considered
    Microsoft
    As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
    Incentivized
    Read full review
    MongoDB
    We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
    Read full review
    Return on Investment
    Microsoft
    • For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
    • DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
    • Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
    Incentivized
    Read full review
    MongoDB
    • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
    • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
    Read full review
    ScreenShots

    MongoDB Screenshots

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