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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM SPSS Modeler

    Score9.6 out of 10
    N/AIBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.

    $499

    per month

    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
    Pricing
    IBM SPSS ModelerSigma
    Editions & Modules
    IBM SPSS Modeler Personal
    4,670
    per year
    IBM SPSS Modeler Professional
    7,000
    per year
    IBM SPSS Modeler Premium
    11,600
    per year
    IBM SPSS Modeler Gold
    contact IBM
    per year
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM SPSS ModelerSigma
    Free Trial
    YesYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalOptional
    Additional DetailsIBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop. IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more. IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics. IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact.Contact us for pricing.
    More Pricing Information
    Community Pulse
    IBM SPSS ModelerSigma
    Considered Both Products
    IBM
    No answer on this topic
    Sigma Computing
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    94%
    Would buy again
    118 Answers
    Delivers good value for the price
    No answers on this topic
    97%
    Delivers good value for the price
    77 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    92%
    Happy with the feature set
    116 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    97%
    Lived up to sales and marketing promises
    68 Answers
    Implementation went as expected
    No answers on this topic
    97%
    Implementation went as expected
    77 Answers
    Features
    IBM SPSS ModelerSigma
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM SPSS Modeler and Sigma Computing
    Feature
    IBM SPSS Modeler
    8.9
    2 Ratings
    6% above category average
    Sigma Computing
    -
    Ratings
    Connect to Multiple Data Sources8.82 Ratings00 Ratings
    Extend Existing Data Sources8.82 Ratings00 Ratings
    Automatic Data Format Detection9.01 Ratings00 Ratings
    MDM Integration9.01 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of IBM SPSS Modeler and Sigma Computing
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    7% above category average
    Sigma Computing
    -
    Ratings
    Visualization9.01 Ratings00 Ratings
    Interactive Data Analysis9.01 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM SPSS Modeler and Sigma Computing
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    10% above category average
    Sigma Computing
    -
    Ratings
    Interactive Data Cleaning and Enrichment9.01 Ratings00 Ratings
    Data Transformations9.01 Ratings00 Ratings
    Data Encryption9.01 Ratings00 Ratings
    Built-in Processors9.01 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of IBM SPSS Modeler and Sigma Computing
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    6% above category average
    Sigma Computing
    -
    Ratings
    Multiple Model Development Languages and Tools9.01 Ratings00 Ratings
    Automated Machine Learning9.01 Ratings00 Ratings
    Single platform for multiple model development9.01 Ratings00 Ratings
    Self-Service Model Delivery9.01 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of IBM SPSS Modeler and Sigma Computing
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    6% above category average
    Sigma Computing
    -
    Ratings
    Flexible Model Publishing Options9.01 Ratings00 Ratings
    Security, Governance, and Cost Controls9.01 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of IBM SPSS Modeler and Sigma Computing
    Feature
    IBM SPSS Modeler
    -
    Ratings
    Sigma Computing
    7.5
    163 Ratings
    8% below category average
    Pixel Perfect reports00 Ratings5.4104 Ratings
    Customizable dashboards00 Ratings9.3161 Ratings
    Report Formatting Templates00 Ratings7.7133 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of IBM SPSS Modeler and Sigma Computing
    Feature
    IBM SPSS Modeler
    -
    Ratings
    Sigma Computing
    7.5
    166 Ratings
    6% below category average
    Drill-down analysis00 Ratings8.0155 Ratings
    Formatting capabilities00 Ratings7.0163 Ratings
    Integration with R or other statistical packages00 Ratings7.35 Ratings
    Report sharing and collaboration00 Ratings7.7162 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of IBM SPSS Modeler and Sigma Computing
    Feature
    IBM SPSS Modeler
    -
    Ratings
    Sigma Computing
    7.5
    156 Ratings
    9% below category average
    Publish to Web00 Ratings7.3103 Ratings
    Publish to PDF00 Ratings7.7130 Ratings
    Report Versioning00 Ratings7.0120 Ratings
    Report Delivery Scheduling00 Ratings7.6132 Ratings
    Delivery to Remote Servers00 Ratings7.968 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of IBM SPSS Modeler and Sigma Computing
    Feature
    IBM SPSS Modeler
    -
    Ratings
    Sigma Computing
    6.8
    149 Ratings
    16% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.6147 Ratings
    Location Analytics / Geographic Visualization00 Ratings5.626 Ratings
    Predictive Analytics00 Ratings6.218 Ratings
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    IBM SPSS ModelerSigma
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    RapidMiner
    Score8.9 out of 10
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    Score4 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Sisense
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM SPSS ModelerSigma
    Likelihood to Recommend
    9.7
    (8 ratings)
    8.2
    (170 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (6 ratings)
    Usability
    8.9
    (2 ratings)
    7.6
    (48 ratings)
    Availability
    -
    (0 ratings)
    8.2
    (2 ratings)
    Performance
    -
    (0 ratings)
    9.1
    (2 ratings)
    Support Rating
    10.0
    (1 ratings)
    10.0
    (47 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.1
    (2 ratings)
    Configurability
    -
    (0 ratings)
    7.3
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    9.1
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.2
    (2 ratings)
    Vendor post-sale
    -
    (0 ratings)
    7.3
    (1 ratings)
    User Testimonials
    IBM SPSS ModelerSigma
    Likelihood to Recommend
    IBM
    Fast NLP analytics are very easy in SPSS Modeler because there is a built-in interface for classifying concepts and themes and several pre-built models to match the incoming text source. The visualizations all match and help present NLP information without substantial coding, typically required for word clouds and such. SPSS Modeler is good at attaining results faster in general, and the visual nature of the code makes a good tool to have in the data science team's repository. For younger data scientists, and those just interested, it is a good tool to allow for exploring data science techniques.
    Incentivized
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    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
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    Pros
    IBM
    • Combine text and data
    • Provide facilities for all phases of the data mining process.
    • Use a node and stream paradigm to easily and quickly create models.
    Incentivized
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    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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    Cons
    IBM
    • Has very old style graphs, with lots of limitations.
    • Some advanced statistical functions cannot be done through the menu.
    • The data connectivity is not that extensive.
    • It's an expensive tool.
    Incentivized
    Read full review
    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
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    Likelihood to Renew
    IBM
    No answers on this topic
    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
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    Usability
    IBM
    The ability to do predictive modeling, text analytics for both structured & unstructured data, decision management, optimization, and support for various data sources
    Incentivized
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    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
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    Reliability and Availability
    IBM
    No answers on this topic
    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
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    Performance
    IBM
    No answers on this topic
    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
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    Support Rating
    IBM
    The online support board is helpful and the free add ons are incredibly appreciated.
    Incentivized
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    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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    Implementation Rating
    IBM
    No answers on this topic
    Sigma Computing
    Was not involved in implementation
    Incentivized
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    Alternatives Considered
    IBM
    When it comes to investigation and descriptive we have found SPSS Statistics to be the tool of choice, but when it comes to projects with large and several datasets SPSS Modeler has been picked from our customers.
    Incentivized
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    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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    Scalability
    IBM
    No answers on this topic
    Sigma Computing
    It is a cloud service offering that is able to expand based on your usage
    Incentivized
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    Return on Investment
    IBM
    • Positive - Ease of decision making and reduction in product life cycle time.
    • Positive - Gives entirely new perspective with the help of right team. Helps expanding the portfolio.
    • Negative - Needs to have good understanding about mathematical modelling, of which talent is rare and expensive. Hence, increase the costs for R&D and manpower.
    Incentivized
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    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
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    ScreenShots

    IBM SPSS Modeler Screenshots

    Screenshot of Use a single run to test multiple modeling methods, compare results and select which model to deploy. Quickly choose the best performing algorithm based on model performance.Screenshot of Explore geographic data, such as latitude and longitude, postal codes and addresses. Combine it with current and historical data for better insights and predictive accuracy.Screenshot of Capture key concepts, themes, sentiments and trends by analyzing unstructured text data. Uncover insights in web activity, blog content, customer feedback, emails and social media comments.Screenshot of Use R, Python, Spark, Hadoop and other open source technologies to amplify the power of your analytics. Extend and complement these technologies for more advanced analytics while you keep control.