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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Red Hat Runtimes

    Score10 out of 10
    N/ARed Hat Runtimes provides modern platforms to develop and run new and legacy applications—including Spring Boot, Reactive, JavaScript, Java EE, and MicroProfile—in a single ecosystem. It includes support for OpenJDK, in-memory datastore, and single sign-on completes the system. The products combine, enabling users to share resources and build more applications faster.N/A
    Pricing
    MongoDBRed Hat Runtimes
    Editions & Modules
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    MongoDBRed Hat Runtimes
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP—
    More Pricing Information
    Community Pulse
    MongoDBRed Hat Runtimes
    Considered Both Products
    MongoDB
    No answer on this topic
    Red Hat
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    12 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    12 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    12 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    9 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    12 Answers
    No answers on this topic
    Features
    MongoDBRed Hat Runtimes
    NoSQL Databases
    Comparison of NoSQL Databases features of MongoDB and Red Hat Runtimes
    Feature
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Red Hat Runtimes
    -
    Ratings
    Performance10.039 Ratings00 Ratings
    Availability10.039 Ratings00 Ratings
    Concurrency10.039 Ratings00 Ratings
    Security10.039 Ratings00 Ratings
    Scalability10.039 Ratings00 Ratings
    Data model flexibility10.039 Ratings00 Ratings
    Deployment model flexibility10.038 Ratings00 Ratings
    Best Alternatives
    MongoDBRed Hat Runtimes
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    GraalVM
    Score9.1 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Oracle Java SE
    Score8.1 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    GraalVM
    Score9.1 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MongoDBRed Hat Runtimes
    Likelihood to Recommend
    10.0
    (79 ratings)
    10.0
    (2 ratings)
    Likelihood to Renew
    10.0
    (67 ratings)
    -
    (0 ratings)
    Usability
    10.0
    (15 ratings)
    -
    (0 ratings)
    Availability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.6
    (13 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.4
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    MongoDBRed Hat Runtimes
    Likelihood to Recommend
    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
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    Red Hat
    Hat Red A collection of goods, equipment, and parts used in the creation and upkeep of cloud-native apps is known as runtimes. It provides lightweight runtimes and frameworks for highly distributed cloud architectures, like microservices, similar to Quarkus. Frameworks and runtimes selection of languages, runtimes, and frameworks enables developers and architects to select the best tool for the job. Quarkus, Spring Boot, Vert. x, and Node.js are all supported. In-memory distributed caching is a distributed in-memory data management system built for scalability and quick access to huge amounts of data.
    Incentivized
    Read full review
    Pros
    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
    Red Hat
    • Java micro services
    • Open JDK
    • Caching
    Incentivized
    Read full review
    Cons
    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
    Red Hat
    • Migration Toolkit for Applications.
    • JBoss Web Server.
    • Identity management and access control.
    Incentivized
    Read full review
    Likelihood to Renew
    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
    Red Hat
    No answers on this topic
    Usability
    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
    Red Hat
    No answers on this topic
    Support Rating
    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
    Red Hat
    No answers on this topic
    Implementation Rating
    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
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    Red Hat
    No answers on this topic
    Alternatives Considered
    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
    Red Hat
    Native integration with Redhat Open Shift Container Platform and Cloud native micro services development especially Java micro services with quarkus which very good alternative framework on that area. Open source support and Open JDK support are extremely important for most of the java developers and communities. Good documentation and howto tutorials
    Incentivized
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    Return on Investment
    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
    Red Hat
    • Total Economic Impact (TEI) study.
    • Red hat openShift.
    • Red hat services and support.
    Incentivized
    Read full review
    ScreenShots

    MongoDB Screenshots

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