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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    MATLAB

    Score9 out of 10
    N/AMatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.

    $49

    per student license

    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
    Pricing
    MATLABSAS Enterprise Miner
    Editions & Modules
    Student
    $49
    per student license
    Home
    $149
    perpetual license
    Education
    $250
    per year
    Education
    $500
    perpetual license
    Standard
    $860
    per year
    Standard
    2,150
    perpetual license
    No answers on this topic
    Offerings
    Pricing Offerings
    MATLABSAS Enterprise Miner
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    MATLABSAS Enterprise Miner
    Considered Both Products
    MathWorks
    No answer on this topic
    SAS
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    15 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
    93%
    Happy with the feature set
    14 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    88%
    Lived up to sales and marketing promises
    7 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    11 Answers
    No answers on this topic
    Features
    MATLABSAS Enterprise Miner
    Platform Connectivity
    Comparison of Platform Connectivity features of MATLAB and SAS Enterprise Miner
    Feature
    MATLAB
    -
    Ratings
    SAS Enterprise Miner
    8.8
    4 Ratings
    5% above category average
    Connect to Multiple Data Sources00 Ratings8.14 Ratings
    Extend Existing Data Sources00 Ratings9.04 Ratings
    Automatic Data Format Detection00 Ratings9.34 Ratings
    MDM Integration00 Ratings9.02 Ratings
    Data Exploration
    Comparison of Data Exploration features of MATLAB and SAS Enterprise Miner
    Feature
    MATLAB
    -
    Ratings
    SAS Enterprise Miner
    8.1
    4 Ratings
    3% below category average
    Visualization00 Ratings7.14 Ratings
    Interactive Data Analysis00 Ratings9.14 Ratings
    Data Preparation
    Comparison of Data Preparation features of MATLAB and SAS Enterprise Miner
    Feature
    MATLAB
    -
    Ratings
    SAS Enterprise Miner
    8.0
    4 Ratings
    2% below category average
    Interactive Data Cleaning and Enrichment00 Ratings7.84 Ratings
    Data Transformations00 Ratings8.24 Ratings
    Data Encryption00 Ratings8.12 Ratings
    Built-in Processors00 Ratings8.12 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of MATLAB and SAS Enterprise Miner
    Feature
    MATLAB
    -
    Ratings
    SAS Enterprise Miner
    8.8
    4 Ratings
    5% above category average
    Multiple Model Development Languages and Tools00 Ratings7.54 Ratings
    Automated Machine Learning00 Ratings9.82 Ratings
    Single platform for multiple model development00 Ratings8.54 Ratings
    Self-Service Model Delivery00 Ratings9.23 Ratings
    Model Deployment
    Comparison of Model Deployment features of MATLAB and SAS Enterprise Miner
    Feature
    MATLAB
    -
    Ratings
    SAS Enterprise Miner
    7.8
    4 Ratings
    9% below category average
    Flexible Model Publishing Options00 Ratings7.04 Ratings
    Security, Governance, and Cost Controls00 Ratings8.54 Ratings
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    MATLABSAS Enterprise Miner
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    IBM SPSS Statistics
    Score7.7 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    Alteryx Platform
    Score8.9 out of 10
    Anaconda
    Score8.1 out of 10
    Enterprises
    Alteryx Platform
    Score8.9 out of 10
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    Score10 out of 10
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    User Ratings
    MATLABSAS Enterprise Miner
    Likelihood to Recommend
    8.1
    (53 ratings)
    9.9
    (4 ratings)
    Usability
    9.9
    (4 ratings)
    -
    (0 ratings)
    Support Rating
    9.5
    (7 ratings)
    10.0
    (2 ratings)
    User Testimonials
    MATLABSAS Enterprise Miner
    Likelihood to Recommend
    MathWorks
    MATLAB really does best for solving computational problems in math and engineering. Especially when you have to use a lot of functions in your solving process, or if you have a nonlinear equation that must be iteratively solved. [MATLAB] can also perform things like integration and derivation on your equations that you put into it.
    Incentivized
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    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.
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    Pros
    MathWorks
    • It has a very user friendly library which helps users learn this software fairly quickly in a short span of time.
    • The graphical user interface provided by the software is really good.
    • The code that a person writes allows options for debugging.
    • One can visualize the flow of control of their code inside MATLAB.
    Incentivized
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    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.
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    Cons
    MathWorks
    • MatLab is pricier than most of its competitors and because of this reason, many organizations are moving towards cheaper alternatives - mostly Python.
    • MatLab is inefficient when it comes to performing a large number of iterations. It gets laggy and often crashes. Python is better in this regard.
    • There is a limited number of hardware options (mostly NI) that can be connected directly to the data acquisition toolbox.
    Incentivized
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    SAS
    • SAS is not as user friendly as other stats software.
    Incentivized
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    Usability
    MathWorks
    MATLAB is pretty easy to use. You can extend its capabilities using the programming interface. Very flexible capabilities when it comes to graphical presentation of your data (so many different kinds of options for your plotting needs). Anytime you are working with large data sets, or with matrices, MATLAB is likely to be very helpful.
    Incentivized
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    SAS
    No answers on this topic
    Support Rating
    MathWorks
    The built-in search engine is not as performing as I wish it would be. However, the YouTube channel has a vast library of informative video that can help understanding the software. Also, many other software have a nice bridge into MATLAB, which makes it very versatile. Overall, the support for MATLAB is good.
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    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.
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    Alternatives Considered
    MathWorks
    How MATLAB compares to its competition or similar open access tools like R (programming language) or SciLab is that it's simply more powerful and capable. It embraces a wider spectrum of possibilities for far more fields than any other environment. R, for example, is intended primarily for the area of statistical computing. SciLab, on the other hand, is a similar open access tool that falls very short in its computing capabilities. It's much slower when running larger scripts and isn't documented or supported nearly as well as MATLAB.
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    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.
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    Return on Investment
    MathWorks
    • MATLAB helps us quickly sort through large sets of data because we keep the same script each time we run an analyzation, making it very efficient to run this whole process.
    • The software makes it super easy for us to create plots that we can then show to investors or clients to display our data.
    • We are also looking to create an app for our product, and we will not be able to do that on MATLAB, therefore creating a limiting issue and a new learning curve for a programming language.
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    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.
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    ScreenShots