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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

    Mathematica

    Score7 out of 10
    N/AWolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.

    $1,520

    per year

    Pricing
    MongoDBMathematica
    Editions & Modules
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    Standard Cloud
    $1,520
    per year
    Standard Desktop
    $3,040
    one-time fee
    Standard Desktop & Cloud
    $3,344
    one-time fee
    Mathematica Enterprise Edition
    $8,150.00
    one-time fee
    Offerings
    Pricing Offerings
    MongoDBMathematica
    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 GCPDiscounts available for students and educational institutions. The Network Edition reduce per-user license costs through shared deployment across any number of machines on a local-area network.
    More Pricing Information
    Community Pulse
    MongoDBMathematica
    Considered Both Products
    MongoDB
    No answer on this topic
    Wolfram
    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
    MongoDBMathematica
    NoSQL Databases
    Comparison of NoSQL Databases features of MongoDB and Wolfram Mathematica
    Feature
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Wolfram Mathematica
    -
    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
    BI Standard Reporting
    Comparison of BI Standard Reporting features of MongoDB and Wolfram Mathematica
    Feature
    MongoDB
    -
    Ratings
    Wolfram Mathematica
    9.9
    6 Ratings
    20% above category average
    Pixel Perfect reports00 Ratings9.84 Ratings
    Customizable dashboards00 Ratings9.94 Ratings
    Report Formatting Templates00 Ratings9.96 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of MongoDB and Wolfram Mathematica
    Feature
    MongoDB
    -
    Ratings
    Wolfram Mathematica
    9.9
    9 Ratings
    23% above category average
    Drill-down analysis00 Ratings9.98 Ratings
    Formatting capabilities00 Ratings9.98 Ratings
    Integration with R or other statistical packages00 Ratings9.97 Ratings
    Report sharing and collaboration00 Ratings9.99 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of MongoDB and Wolfram Mathematica
    Feature
    MongoDB
    -
    Ratings
    Wolfram Mathematica
    9.3
    8 Ratings
    13% above category average
    Publish to Web00 Ratings9.97 Ratings
    Publish to PDF00 Ratings9.08 Ratings
    Report Versioning00 Ratings9.97 Ratings
    Report Delivery Scheduling00 Ratings8.95 Ratings
    Delivery to Remote Servers00 Ratings8.95 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of MongoDB and Wolfram Mathematica
    Feature
    MongoDB
    -
    Ratings
    Wolfram Mathematica
    9.9
    9 Ratings
    24% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings9.99 Ratings
    Location Analytics / Geographic Visualization00 Ratings9.98 Ratings
    Predictive Analytics00 Ratings9.98 Ratings
    Best Alternatives
    MongoDBMathematica
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    Chartio (discontinued)
    Score7.5 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Jet Reports
    Score9.5 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    Kibana
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MongoDBMathematica
    Likelihood to Recommend
    10.0
    (79 ratings)
    9.9
    (9 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)
    9.5
    (2 ratings)
    Implementation Rating
    8.4
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    MongoDBMathematica
    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
    Read full review
    Wolfram
    We are the judgement that Wolfram Mathematica is despite many critics based on the paradigms selected a mark in the fields of the markets for computations of all kind. Wolfram Mathematica is even a choice in fields where other bolide systems reign most of the market. Wolfram Mathematica offers rich flexibility and internally standardizes the right methodologies for his user community. Wolfram Mathematica is not cheap and in need of a hard an long learner journey. That makes it weak in comparison with of-the-shelf-solution packages or even other programming languages. But for systematization of methods Wolfram Mathematica is far in front of almost all the other. Scientist and interested people are able to develop themself further and Wolfram Matheamatica users are a human variant for themself. The reach out for modern mathematics based science is deep and a unique unified framework makes the whole field of mathematics accessable comparable to the brain of Albert Einstein. The paradigms incorporated are the most efficients and consist in assembly on the market. The mathematics is covering and fullfills not just education requirements but the demands and needs of experts.
    Mathematica is incompatible with other systems for mCAx and therefore the borders between the systems are hard to overcome. Wolfram Mathematica should be consider one of the more open systems because other code can be imported and run but on the export side it is rathe incompatible by design purposes. A better standard for all that might solve the crisis but there is none in sight. Selection of knowledge of what works will be in the future even more focussed and general system might be one the lossy side. Knowledge of esthetics of what will be in the highest demand in necessary and Wolfram is not a leader in this field of science. Mathematics leves from gathering problems from application fields and less from the glory of itself and the formalization of this.
    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
    Wolfram
    • It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
    • Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
    • The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.
    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
    Wolfram
    • Should include more libraries and functions.
    • Should include more functions that can be used in Machine Learning.
    • Should include more functions that can be used in Data Science.
    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
    Wolfram
    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
    Wolfram
    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
    Wolfram
    Wolfram Mathematica is a nice software package. It has very nice features and easy to install and use in your machine. Besides this, there is a nice support from Wolfram. They come to the university frequently to give seminars in Mathematica. I think this is the best thing they are doing. That is very helpful for graduate and undergraduate students who are using Mathematica in their research.
    Incentivized
    Read full review
    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
    Read full review
    Wolfram
    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
    Wolfram
    We have evaluated and are using in some cases the Python language in concert with the Jupyter notebook interface. For UI, we using libraries like React to create visually stunning visualizations of such models. Mathematica compares favorably to this alternative in terms of speed of development. Mathematica compares unfavorably to this alternative in terms of license costs.
    Incentivized
    Read full review
    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
    Wolfram
    • Easy to solve huge mathematical equations, so it saved time there
    • Doing analysis and plotting graphs is also another plus point
    • Learning is very slow, and it took lot of time to learn its scripting language
    Incentivized
    Read full review
    ScreenShots

    MongoDB Screenshots

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