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IBM SPSS Statistics vs. SAS Enterprise Miner

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM SPSS Statistics

    Score7.7 out of 10
    N/ASPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).

    $99

    per month per user

    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
    IBM SPSS StatisticsSAS Enterprise Miner
    Editions & Modules
    Base
    USD 3,830
    one-time fee per user
    Standard
    USD 8,440
    one-time fee per user
    Professional
    USD 16,900
    one-time fee per user
    Premium
    USD 25,200
    one-time fee per user
    Monthly subscription
    USD 99
    per month per user
    Annual subscription
    USD 1,188.00
    per year per user
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM SPSS StatisticsSAS Enterprise Miner
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    IBM SPSS StatisticsSAS Enterprise Miner
    Considered Both Products
    IBM
    Chose IBM SPSS Statistics
    SAS is more sophisticated and can be made more streamlined with SQL. SPSS has easier and user friendlier user experiences.
    Incentivized
    SAS
    Chose SAS Enterprise Miner
    I like the algorithms SAS uses better than SPSS. I have been writing SAS code since the mid 1980s and trust their development team. Also offer great refresher class to academics.
    Incentivized
    Chose SAS Enterprise Miner
    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 …
    Incentivized
    Chose SAS Enterprise Miner
    SPSS was used for model development before SAS in my organization. SAS brought a bigger more complete integrated solution than SPSS had.
    It allowed users to easily prepare their data with SAS/Enterprise Guide and then use it with Enterprise Miner. The data preparation tools of …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    IBM SPSS StatisticsSAS Enterprise Miner
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM SPSS Statistics and SAS Enterprise Miner
    Feature
    IBM SPSS Statistics
    -
    Ratings
    SAS Enterprise Miner
    8.8
    4 Ratings
    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 IBM SPSS Statistics and SAS Enterprise Miner
    Feature
    IBM SPSS Statistics
    -
    Ratings
    SAS Enterprise Miner
    8.1
    4 Ratings
    Visualization00 Ratings7.14 Ratings
    Interactive Data Analysis00 Ratings9.14 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM SPSS Statistics and SAS Enterprise Miner
    Feature
    IBM SPSS Statistics
    -
    Ratings
    SAS Enterprise Miner
    8.0
    4 Ratings
    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 IBM SPSS Statistics and SAS Enterprise Miner
    Feature
    IBM SPSS Statistics
    -
    Ratings
    SAS Enterprise Miner
    8.8
    4 Ratings
    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 IBM SPSS Statistics and SAS Enterprise Miner
    Feature
    IBM SPSS Statistics
    -
    Ratings
    SAS Enterprise Miner
    7.8
    4 Ratings
    Flexible Model Publishing Options00 Ratings7.04 Ratings
    Security, Governance, and Cost Controls00 Ratings8.54 Ratings
    User Ratings
    IBM SPSS StatisticsSAS Enterprise Miner
    Likelihood to Recommend
    4.3
    (91 ratings)
    9.9
    (4 ratings)
    Likelihood to Renew
    8.6
    (22 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (14 ratings)
    -
    (0 ratings)
    Availability
    6.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    6.4
    (12 ratings)
    10.0
    (2 ratings)
    Implementation Rating
    8.7
    (7 ratings)
    -
    (0 ratings)
    Configurability
    5.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    5.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    5.0
    (1 ratings)
    -
    (0 ratings)