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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Datadog

    Score8.8 out of 10
    N/ADatadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.

    $18

    per month per host

    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
    DatadogMathematica
    Editions & Modules
    Log Management
    $1.27
    per month (billed annually) per host
    Infrastructure
    $15.00
    per month (billed annually) per host
    Standard
    $18
    per month per host
    Enterprise
    $27
    per month per host
    DevSecOps Pro
    $27
    per month per host
    APM
    $31.00
    per month (billed annually) per host
    DevSecOps Enterprise
    $41
    per month per host
    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
    DatadogMathematica
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).Discounts 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
    DatadogMathematica
    Considered Both Products
    Datadog
    No answer on this topic
    Wolfram
    Chose Mathematica
    Mathematica is good solution in some cases but doesn't perform well in other regions. Mathematica is good in solving mathematical problems but not performs well in machine learning areas. I would suggest to use TensorFlow or Keras for machine learning. Also it performs good for …
    Incentivized
    Key User Insights
    Would buy again
    94%
    Would buy again
    50 Answers
    No answers on this topic
    Delivers good value for the price
    93%
    Delivers good value for the price
    41 Answers
    No answers on this topic
    Happy with the feature set
    98%
    Happy with the feature set
    52 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    32 Answers
    No answers on this topic
    Implementation went as expected
    97%
    Implementation went as expected
    36 Answers
    No answers on this topic
    Features
    DatadogMathematica
    Monitoring Tasks
    Comparison of Monitoring Tasks features of Datadog and Wolfram Mathematica
    Feature
    Datadog
    7.9
    2 Ratings
    6% below category average
    Wolfram Mathematica
    -
    Ratings
    Remote monitoring8.22 Ratings00 Ratings
    Network device monitoring7.72 Ratings00 Ratings
    Multiple Server Monitoring7.72 Ratings00 Ratings
    Multi-device monitoring7.72 Ratings00 Ratings
    Automated alerts and notifications8.22 Ratings00 Ratings
    Management Tasks
    Comparison of Management Tasks features of Datadog and Wolfram Mathematica
    Feature
    Datadog
    6.1
    1 Ratings
    12% below category average
    Wolfram Mathematica
    -
    Ratings
    Patch Management7.31 Ratings00 Ratings
    Service configuration management6.41 Ratings00 Ratings
    Software and hardware inventory5.51 Ratings00 Ratings
    Policy-based automation5.51 Ratings00 Ratings
    Reporting
    Comparison of Reporting features of Datadog and Wolfram Mathematica
    Feature
    Datadog
    8.2
    2 Ratings
    3% above category average
    Wolfram Mathematica
    -
    Ratings
    Performance data reports8.22 Ratings00 Ratings
    Customizable reporting7.72 Ratings00 Ratings
    Data visualization8.62 Ratings00 Ratings
    Risk analysis8.22 Ratings00 Ratings
    Security
    Comparison of Security features of Datadog and Wolfram Mathematica
    Feature
    Datadog
    6.7
    1 Ratings
    9% below category average
    Wolfram Mathematica
    -
    Ratings
    Data backup and recovery6.41 Ratings00 Ratings
    Antivirus and malware management7.31 Ratings00 Ratings
    Administrator access control6.41 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Datadog and Wolfram Mathematica
    Feature
    Datadog
    -
    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 Datadog and Wolfram Mathematica
    Feature
    Datadog
    -
    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 Datadog and Wolfram Mathematica
    Feature
    Datadog
    -
    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 Datadog and Wolfram Mathematica
    Feature
    Datadog
    -
    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
    DatadogMathematica
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    Amazon CloudWatch
    Score7.8 out of 10
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    Score7.5 out of 10
    Medium-sized Companies
    LogicMonitor
    Score8.9 out of 10
    Jet Reports
    Score9.5 out of 10
    Enterprises
    ManageEngine Site24x7
    Score10 out of 10
    Kibana
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DatadogMathematica
    Likelihood to Recommend
    8.9
    (65 ratings)
    9.9
    (9 ratings)
    Likelihood to Renew
    4.3
    (2 ratings)
    -
    (0 ratings)
    Usability
    8.7
    (44 ratings)
    -
    (0 ratings)
    Support Rating
    5.0
    (7 ratings)
    9.5
    (2 ratings)
    Implementation Rating
    1.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    DatadogMathematica
    Likelihood to Recommend
    Datadog
    Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
    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
    Datadog
    • The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
    • Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
    • Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
    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
    Datadog
    • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
    • I would appreciate more supportive examples for how to filter and view metrics in the explorer
    • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
    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
    Datadog
    Definitely will not revisit after our issues and, in my opinion, poor support.
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Usability
    Datadog
    There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
    Incentivized
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    Wolfram
    No answers on this topic
    Support Rating
    Datadog
    The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
    Incentivized
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    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
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    Implementation Rating
    Datadog
    Documentation was difficult to work through, rollout was catastrophic (completely outage)
    Incentivized
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    Wolfram
    No answers on this topic
    Alternatives Considered
    Datadog
    Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


    Key features:


    Logs, metrics, and APM (Application Performance Monitoring)


    Real-time alerting and dashboards


    Supports Kubernetes, AWS, GCP, and other integrations


    RUM (Real User Monitoring) and Synthetics





    ✅ Best for backend, server, and distributed systems monitoring.
    Incentivized
    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
    Datadog
    • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
    • Alerts allow us to remedy issues before our customers even know about them
    • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
    Incentivized
    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

    Datadog Screenshots

    Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.