TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    SAS Enterprise Miner

    Score9 out of 10
    N/ASAS Enterprise Miner is a data science and statistical modeling solution enabling the creation of predictive and descriptive models on very large data sources across the organization.N/A

    Mathematica

    Score8.2 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
    SAS Enterprise MinerMathematica
    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
    SAS Enterprise MinerMathematica
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsDiscounts 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
    Features
    SAS Enterprise MinerMathematica
    Platform Connectivity
    Comparison of Platform Connectivity features of SAS Enterprise Miner and Wolfram Mathematica
    Feature
    SAS Enterprise Miner
    8.8
    4 Ratings
    5% above category average
    Wolfram Mathematica
    -
    Ratings
    Connect to Multiple Data Sources8.14 Ratings00 Ratings
    Extend Existing Data Sources9.04 Ratings00 Ratings
    Automatic Data Format Detection9.34 Ratings00 Ratings
    MDM Integration9.02 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of SAS Enterprise Miner and Wolfram Mathematica
    Feature
    SAS Enterprise Miner
    8.1
    4 Ratings
    3% below category average
    Wolfram Mathematica
    -
    Ratings
    Visualization7.14 Ratings00 Ratings
    Interactive Data Analysis9.14 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of SAS Enterprise Miner and Wolfram Mathematica
    Feature
    SAS Enterprise Miner
    8.0
    4 Ratings
    2% below category average
    Wolfram Mathematica
    -
    Ratings
    Interactive Data Cleaning and Enrichment7.84 Ratings00 Ratings
    Data Transformations8.24 Ratings00 Ratings
    Data Encryption8.12 Ratings00 Ratings
    Built-in Processors8.12 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of SAS Enterprise Miner and Wolfram Mathematica
    Feature
    SAS Enterprise Miner
    8.8
    4 Ratings
    5% above category average
    Wolfram Mathematica
    -
    Ratings
    Multiple Model Development Languages and Tools7.54 Ratings00 Ratings
    Automated Machine Learning9.82 Ratings00 Ratings
    Single platform for multiple model development8.54 Ratings00 Ratings
    Self-Service Model Delivery9.23 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of SAS Enterprise Miner and Wolfram Mathematica
    Feature
    SAS Enterprise Miner
    7.8
    4 Ratings
    9% below category average
    Wolfram Mathematica
    -
    Ratings
    Flexible Model Publishing Options7.04 Ratings00 Ratings
    Security, Governance, and Cost Controls8.54 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of SAS Enterprise Miner and Wolfram Mathematica
    Feature
    SAS Enterprise Miner
    -
    Ratings
    Wolfram Mathematica
    9.9
    6 Ratings
    16% 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 SAS Enterprise Miner and Wolfram Mathematica
    Feature
    SAS Enterprise Miner
    -
    Ratings
    Wolfram Mathematica
    9.9
    9 Ratings
    22% 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 SAS Enterprise Miner and Wolfram Mathematica
    Feature
    SAS Enterprise Miner
    -
    Ratings
    Wolfram Mathematica
    9.3
    8 Ratings
    10% 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 SAS Enterprise Miner and Wolfram Mathematica
    Feature
    SAS Enterprise Miner
    -
    Ratings
    Wolfram Mathematica
    9.9
    9 Ratings
    20% 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
    SAS Enterprise MinerMathematica
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Looker Studio
    Score7.6 out of 10
    Medium-sized Companies
    Anaconda
    Score8.1 out of 10
    Jet Reports
    Score9.5 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Grafana
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    SAS Enterprise MinerMathematica
    Likelihood to Recommend
    9.9
    (4 ratings)
    9.9
    (9 ratings)
    Support Rating
    10.0
    (2 ratings)
    9.5
    (2 ratings)
    User Testimonials
    SAS Enterprise MinerMathematica
    Likelihood to Recommend
    SAS
    SAS Enterprise Miner is world-class software for individuals interested in developing reproducible models in a reasonable amount of time. Perhaps the most useful part of SAS Enterprise Miner is the ability to compare models with other models without writing code. The ensemble modeling capabilities is the easiest way to do ensemble modeling I have come across. SAS Enterprise Miner is well-suited for beginning to advanced analysts who know something about advanced analytics. The software is not well-suited for analysts or companies that have little interest in advanced modeling.
    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
    SAS
    • Enterprise Miner is really visual and lets you do a whole lot without actually going into the detailed options. For decent results, you should really explore the different advanced options though.
    • The recent versions of Miner allow users to use R code in Miner. You can then compare several models and approach to get the best performing model.
    • The resulting data is really well displayed and easy to understand (ex: the lift graph, score ranking, etc.)
    • Miner has the ability to integrate custom SAS code which allows the user to add functionalities that are specific to the project.
    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
    SAS
    • SAS is not as user friendly as other stats software.
    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
    Support Rating
    SAS
    SAS' customer support used to be non-existent many years ago. Today, contacting SAS customer support is great. They are responsible, knowledgable, and seem to have an interest in getting the results right the first time. With that said, Enterprise Miner's online support is weak, probably because the user base is much smaller than other tools.
    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
    Alternatives Considered
    SAS
    SAS EM has a very great set of machine learning and predictive analytics toolsets, which helped our organization achieve its goals. We used other tools, but for us, SAS EM was the most intuitive and easy to learn the tool and it provides greater data exploration and data preparation capabilities compared to the other tools we used.
    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
    SAS
    • In our organization, users were using SAS already so the learning curve was really low. Within a few weeks after the implementation, the users were already delivering models developed with SAS Enterprise Miner. It is difficult to talk about ROI as models were already being developed before. It was mostly a change of technology and it was a smooth transition.
    • Going with Enterprise Miner came with migration from desktop use of SAS to a server use of SAS. This created a new role of SAS administrator. This was obviously a cost but as the use of SAS increased greatly, it was expected.
    • From a methodology standpoint, Enterprise Miner helped greatly in the documentation of the model development which was a requirement in a few groups such as the risk groups. Having a visual "GUI-like" approach to development, the flowchart or diagram of the project in Miner was able to give users a good understanding of the approach the analyst took to develop the model.
    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