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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Domino Enterprise MLOps Platform

    Score8 out of 10
    Enterprise companies (1,001+ employees)
    The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale. Domino is presented as open and flexible, to empower professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect. The Domino Enterprise MLOps…N/A

    IBM SPSS Modeler

    Score9.5 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

    Pricing
    Domino Enterprise MLOps PlatformIBM SPSS Modeler
    Editions & Modules
    No answers on this topic
    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
    Offerings
    Pricing Offerings
    Domino Enterprise MLOps PlatformIBM SPSS Modeler
    Free Trial
    YesYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details—IBM 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.
    More Pricing Information
    Community Pulse
    Domino Enterprise MLOps PlatformIBM SPSS Modeler
    Considered Both Products
    Domino Data Lab
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    5 Answers
    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
    100%
    Happy with the feature set
    5 Answers
    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
    Domino Enterprise MLOps PlatformIBM SPSS Modeler
    Platform Connectivity
    Comparison of Platform Connectivity features of Domino Enterprise MLOps Platform and IBM SPSS Modeler
    Feature
    Domino Enterprise MLOps Platform
    -
    Ratings
    IBM SPSS Modeler
    8.9
    2 Ratings
    6% above category average
    Connect to Multiple Data Sources00 Ratings8.82 Ratings
    Extend Existing Data Sources00 Ratings8.82 Ratings
    Automatic Data Format Detection00 Ratings9.01 Ratings
    MDM Integration00 Ratings9.01 Ratings
    Data Exploration
    Comparison of Data Exploration features of Domino Enterprise MLOps Platform and IBM SPSS Modeler
    Feature
    Domino Enterprise MLOps Platform
    -
    Ratings
    IBM SPSS Modeler
    9.0
    1 Ratings
    7% above category average
    Visualization00 Ratings9.01 Ratings
    Interactive Data Analysis00 Ratings9.01 Ratings
    Data Preparation
    Comparison of Data Preparation features of Domino Enterprise MLOps Platform and IBM SPSS Modeler
    Feature
    Domino Enterprise MLOps Platform
    -
    Ratings
    IBM SPSS Modeler
    9.0
    1 Ratings
    10% above category average
    Interactive Data Cleaning and Enrichment00 Ratings9.01 Ratings
    Data Transformations00 Ratings9.01 Ratings
    Data Encryption00 Ratings9.01 Ratings
    Built-in Processors00 Ratings9.01 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Domino Enterprise MLOps Platform and IBM SPSS Modeler
    Feature
    Domino Enterprise MLOps Platform
    -
    Ratings
    IBM SPSS Modeler
    9.0
    1 Ratings
    6% above category average
    Multiple Model Development Languages and Tools00 Ratings9.01 Ratings
    Automated Machine Learning00 Ratings9.01 Ratings
    Single platform for multiple model development00 Ratings9.01 Ratings
    Self-Service Model Delivery00 Ratings9.01 Ratings
    Model Deployment
    Comparison of Model Deployment features of Domino Enterprise MLOps Platform and IBM SPSS Modeler
    Feature
    Domino Enterprise MLOps Platform
    -
    Ratings
    IBM SPSS Modeler
    9.0
    1 Ratings
    6% above category average
    Flexible Model Publishing Options00 Ratings9.01 Ratings
    Security, Governance, and Cost Controls00 Ratings9.01 Ratings
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    Domino Enterprise MLOps PlatformIBM SPSS Modeler
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    Domino Enterprise MLOps PlatformIBM SPSS Modeler
    Likelihood to Recommend
    -
    (0 ratings)
    9.7
    (8 ratings)
    Usability
    -
    (0 ratings)
    8.9
    (2 ratings)
    Support Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Domino Enterprise MLOps PlatformIBM SPSS Modeler
    Likelihood to Recommend
    Domino Data Lab
    No answers on this topic
    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
    Read full review
    Pros
    Domino Data Lab
    No answers on this topic
    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
    Read full review
    Cons
    Domino Data Lab
    No answers on this topic
    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
    Usability
    Domino Data Lab
    No answers on this topic
    IBM
    The ability to do predictive modeling, text analytics for both structured & unstructured data, decision management, optimization, and support for various data sources
    Incentivized
    Read full review
    Support Rating
    Domino Data Lab
    No answers on this topic
    IBM
    The online support board is helpful and the free add ons are incredibly appreciated.
    Incentivized
    Read full review
    Alternatives Considered
    Domino Data Lab
    No answers on this topic
    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
    Read full review
    Return on Investment
    Domino Data Lab
    No answers on this topic
    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
    Read full review
    ScreenShots

    Domino Enterprise MLOps Platform Screenshots

    Screenshot of The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale.Screenshot of The Self-Service Infrastructure Portal makes data science teams more productive with access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming DevOps tasks, data scientists can focus on the tasks at hand.Screenshot of The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle.Screenshot of The System of Record has a reproducibility engine, search and knowledge management, and integrated project management. Teams can find, reuse, reproduce, and build on any data science work to amplify innovation.Screenshot of Model monitoring capabilities ensure that all production models maintain peak performance. Automated alerts provide notification when data and quality drift occurs so users can re-train, rebuild, and re-publish the model.Screenshot of Nexus is a single pane of glass to run data science and ML workloads across any compute cluster — in any cloud, region, or on-premises. It unifies data science silos across the enterprise, providing one place to build, deploy, and monitor models.

    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.