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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Sigma

    Score8.4 out of 10
    N/ASigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.N/A

    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
    SigmaMathematica
    Editions & Modules
    No answers on this topic
    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
    SigmaMathematica
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsContact us for pricing.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
    SigmaMathematica
    Considered Both Products
    Sigma Computing
    No answer on this topic
    Wolfram
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    118 Answers
    No answers on this topic
    Delivers good value for the price
    97%
    Delivers good value for the price
    77 Answers
    No answers on this topic
    Happy with the feature set
    92%
    Happy with the feature set
    116 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    68 Answers
    No answers on this topic
    Implementation went as expected
    97%
    Implementation went as expected
    77 Answers
    No answers on this topic
    Features
    SigmaMathematica
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Sigma Computing and Wolfram Mathematica
    Feature
    Sigma Computing
    7.5
    163 Ratings
    8% below category average
    Wolfram Mathematica
    9.9
    6 Ratings
    20% above category average
    Pixel Perfect reports5.4104 Ratings9.84 Ratings
    Customizable dashboards9.3161 Ratings9.94 Ratings
    Report Formatting Templates7.7133 Ratings9.96 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Sigma Computing and Wolfram Mathematica
    Feature
    Sigma Computing
    7.5
    166 Ratings
    6% below category average
    Wolfram Mathematica
    9.9
    9 Ratings
    23% above category average
    Drill-down analysis8.0155 Ratings9.98 Ratings
    Formatting capabilities7.0163 Ratings9.98 Ratings
    Integration with R or other statistical packages7.35 Ratings9.97 Ratings
    Report sharing and collaboration7.7162 Ratings9.99 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Sigma Computing and Wolfram Mathematica
    Feature
    Sigma Computing
    7.5
    156 Ratings
    9% below category average
    Wolfram Mathematica
    9.3
    8 Ratings
    13% above category average
    Publish to Web7.3103 Ratings9.97 Ratings
    Publish to PDF7.7130 Ratings9.08 Ratings
    Report Versioning7.0120 Ratings9.97 Ratings
    Report Delivery Scheduling7.6132 Ratings8.95 Ratings
    Delivery to Remote Servers7.968 Ratings8.95 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Sigma Computing and Wolfram Mathematica
    Feature
    Sigma Computing
    6.8
    149 Ratings
    16% below category average
    Wolfram Mathematica
    9.9
    9 Ratings
    24% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)8.6147 Ratings9.99 Ratings
    Location Analytics / Geographic Visualization5.626 Ratings9.98 Ratings
    Predictive Analytics6.218 Ratings9.98 Ratings
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    SigmaMathematica
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    Cyfe
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    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
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    Score9.5 out of 10
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    Score6.9 out of 10
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    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    SigmaMathematica
    Likelihood to Recommend
    8.2
    (170 ratings)
    9.9
    (9 ratings)
    Likelihood to Renew
    10.0
    (6 ratings)
    -
    (0 ratings)
    Usability
    7.6
    (48 ratings)
    -
    (0 ratings)
    Availability
    8.2
    (2 ratings)
    -
    (0 ratings)
    Performance
    9.1
    (2 ratings)
    -
    (0 ratings)
    Support Rating
    10.0
    (47 ratings)
    9.5
    (2 ratings)
    Implementation Rating
    9.1
    (2 ratings)
    -
    (0 ratings)
    Configurability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    9.1
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    7.3
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    SigmaMathematica
    Likelihood to Recommend
    Sigma Computing
    We were able to set up client-facing embedded reports with ease and security. The interface is not difficult to learn, although we may not be aware of or lack the necessary expertise to utilize more advanced features that would likely benefit us.
    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.
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    Pros
    Sigma Computing
    • Allows end users to easily dive into the data without having direct access to the table in our database management software.
    • Can easily turnaround dashboards that are detailed and visually pleasing.
    • Sigma is intuitive and as new features are rolled out it is easy to adopt and incorporate them into new and existing dashboards.
    Incentivized
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    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
    Sigma Computing
    • Sigma Computing does not allow custom ordering of pivot fields in pivot tables easily
    • Sigma Computing lacks functionality for creating tables or sections that dynamically adjust to the browser window's height while maintaining a fixed height textbox at the bottom
    • Sigma Computing does not provide straightforward options for formatting totals in tables, such as renaming 'Total' to 'Average', 'Team Total', etc
    • Sigma Computing does not support searching by individual tab names within a workbook
    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
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    Likelihood to Renew
    Sigma Computing
    Sigma has helped us a lot and has become an integral part of our daily workflow. It would be difficult to switch to another platform and have to rebuild the numerous metrics and performance reports that we have already established
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Usability
    Sigma Computing
    It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Reliability and Availability
    Sigma Computing
    Yes, as long as you don’t conduct user error sigma is always up and running and waiting for you to complete your dashboards
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Performance
    Sigma Computing
    It depends, it loads quickly for smaller dashboards but when loading larger amounts of data it takes more time to do so
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Support Rating
    Sigma Computing
    They are very friendly and informative. They are quick in resolving our queries and help us understand very minute things as well. They are quick in creating feature tickets based on our custom requirements, and they would also create a bug ticket if there is any discrepancy and get that checked on time.
    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
    Sigma Computing
    Was not involved in implementation
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Alternatives Considered
    Sigma Computing
    With Looker, to be effective, a substantial amount of coding & modeling needs to happen in LookML. Being another language to learn, users have to context switch again from at a minimum either SQL or Python into LookML. The concept of being able to source control, code review, and deploy your models is a plus though.
    Tableau is the gold standard for data visualization, no question. Power users will be able to create dazzling content that Sigma won't necessarily be able to easily match. However, since development usually happens via an extract, helping other users troubleshoot is an arduous process. Trying to re-do or un-do all the transformations and calculations that cause a certain number is very difficult.
    With Sigma, all the queries happen directly against Snowflake and you can see the query logs. The data modeling happens right in a tabular, spreadsheet-like manner, so within only a few minutes, substantial transformations can happen, with visualizations just a few more clicks away.
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    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
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    Scalability
    Sigma Computing
    It is a cloud service offering that is able to expand based on your usage
    Incentivized
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    Wolfram
    No answers on this topic
    Return on Investment
    Sigma Computing
    • Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
    • Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
    • Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.
    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