What users are saying about
16 Ratings
16 Ratings
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Score 9.2 out of 100
37 Ratings
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Score 9.4 out of 100

Feature Set Ratings

    Platform Connectivity

    9.1

    Dataiku DSS

    91%

    IBM SPSS Modeler

    Feature Set Not Supported
    N/A
    Dataiku DSS ranks higher in 4/4 features

    Connect to Multiple Data Sources

    10.0
    100%
    4 Ratings
    N/A
    0 Ratings

    Extend Existing Data Sources

    10.0
    100%
    4 Ratings
    N/A
    0 Ratings

    Automatic Data Format Detection

    10.0
    100%
    4 Ratings
    N/A
    0 Ratings

    MDM Integration

    6.5
    65%
    2 Ratings
    N/A
    0 Ratings

    Data Exploration

    9.7

    Dataiku DSS

    97%

    IBM SPSS Modeler

    Feature Set Not Supported
    N/A
    Dataiku DSS ranks higher in 2/2 features

    Visualization

    9.7
    97%
    4 Ratings
    N/A
    0 Ratings

    Interactive Data Analysis

    9.8
    98%
    4 Ratings
    N/A
    0 Ratings

    Data Preparation

    9.8

    Dataiku DSS

    98%

    IBM SPSS Modeler

    Feature Set Not Supported
    N/A
    Dataiku DSS ranks higher in 4/4 features

    Interactive Data Cleaning and Enrichment

    9.9
    99%
    4 Ratings
    N/A
    0 Ratings

    Data Transformations

    9.9
    99%
    4 Ratings
    N/A
    0 Ratings

    Data Encryption

    9.7
    97%
    4 Ratings
    N/A
    0 Ratings

    Built-in Processors

    9.9
    99%
    4 Ratings
    N/A
    0 Ratings

    Platform Data Modeling

    8.7

    Dataiku DSS

    87%

    IBM SPSS Modeler

    Feature Set Not Supported
    N/A
    Dataiku DSS ranks higher in 4/4 features

    Multiple Model Development Languages and Tools

    5.4
    54%
    4 Ratings
    N/A
    0 Ratings

    Automated Machine Learning

    9.8
    98%
    4 Ratings
    N/A
    0 Ratings

    Single platform for multiple model development

    9.8
    98%
    4 Ratings
    N/A
    0 Ratings

    Self-Service Model Delivery

    9.8
    98%
    4 Ratings
    N/A
    0 Ratings

    Model Deployment

    8.9

    Dataiku DSS

    89%

    IBM SPSS Modeler

    Feature Set Not Supported
    N/A
    Dataiku DSS ranks higher in 2/2 features

    Flexible Model Publishing Options

    8.9
    89%
    4 Ratings
    N/A
    0 Ratings

    Security, Governance, and Cost Controls

    8.9
    89%
    4 Ratings
    N/A
    0 Ratings

    Attribute Ratings

    • IBM SPSS Modeler is rated higher in 2 areas: Likelihood to Recommend, Support Rating
    • Dataiku DSS and IBM SPSS Modeler are tied in 1 area: Usability

    Likelihood to Recommend

    9.8

    Dataiku DSS

    98%
    4 Ratings
    10.0

    IBM SPSS Modeler

    100%
    7 Ratings

    Likelihood to Renew

    Dataiku DSS

    N/A
    0 Ratings
    10.0

    IBM SPSS Modeler

    100%
    1 Rating

    Usability

    10.0

    Dataiku DSS

    100%
    1 Rating
    10.0

    IBM SPSS Modeler

    100%
    1 Rating

    Support Rating

    9.3

    Dataiku DSS

    93%
    3 Ratings
    10.0

    IBM SPSS Modeler

    100%
    4 Ratings

    Implementation Rating

    Dataiku DSS

    N/A
    0 Ratings
    8.0

    IBM SPSS Modeler

    80%
    2 Ratings

    Likelihood to Recommend

    Dataiku

    Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
    Read full review

    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.
    Read full review

    Pros

    Dataiku

    • The intuitiveness of this tool is very good.
    • Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
    • The way you can control things, the set of APIs gives a lot of flexibility to a developer.
    Read full review

    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.
    Read full review

    Cons

    Dataiku

    • End product deployment.
    Read full review

    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.
    Read full review

    Pricing Details

    Dataiku DSS

    Starting Price

    $0

    Editions & Modules

    Dataiku DSS editions and modules pricing
    EditionModules
    DiscoverContact sales team1
    BusinessContact sales team2
    EnterpriseContact sales team3

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    IBM SPSS Modeler

    Starting Price

    $0 per year

    Editions & Modules

    IBM SPSS Modeler editions and modules pricing
    EditionModules
    IBM SPSS Modeler Personal4,6701
    IBM SPSS Modeler Professional7,0002
    IBM SPSS Modeler Premium11,6003
    IBM SPSS Modeler Goldcontact IBM4

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    Optional

    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.

    Likelihood to Renew

    Dataiku

    No answers on this topic

    IBM

    because it is an excellent software
    Read full review

    Usability

    Dataiku

    As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
    Read full review

    IBM

    Easy to use
    Read full review

    Support Rating

    Dataiku

    The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
    Read full review

    IBM

    The online support board is helpful and the free add ons are incredibly appreciated.
    Read full review

    Implementation Rating

    Dataiku

    No answers on this topic

    IBM

    Everything seems to went on according to plan
    Read full review

    Alternatives Considered

    Dataiku

    Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
    Read full review

    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.
    Read full review

    Return on Investment

    Dataiku

    • Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
    • Platform also ease tracking of data processing workflow, unlike Excel.
    • Build-in data visualizations covers many use cases with minimal customization; time saver.
    Read full review

    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.
    Read full review

    Screenshots

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