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Dataiku Data Science Studio vs IBM SPSS Modeler comparison

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Executive Summary

We performed a comparison between Dataiku Data Science Studio and IBM SPSS Modeler based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Dataiku Data Science Studio vs. IBM SPSS Modeler report (Updated: September 2022).
634,550 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Data Science Studio's data science model is very useful."

More Dataiku Data Science Studio Pros →

"It's a very organized product. It's easy to use.""The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well.""You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after.""The supervised models are valuable. It is also very organized and easy to use."

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Cons
"I think it would help if Data Science Studio added some more features and improved the data model."

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"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing.""Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler.""Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way.""The time series should be improved."

More IBM SPSS Modeler Cons →

Pricing and Cost Advice
Information Not Available
  • "This tool, being an IBM product, is pretty expensive."
  • "Its price is okay for a company, but for personal use, it is considered somewhat expensive."
  • "I am using the free version of IBM SPSS Modeler, it is the educational edition version."
  • More IBM SPSS Modeler Pricing and Cost Advice →

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    634,550 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:This solution is cheaper than other competitors. It's less expensive, for example, than Alteryx or any other product.
    Top Answer:When the flows get complex, there are too many data sets on them. Normal users will get confused by the influx of information. This was a problem up until recently, however, they have since resolved… more »
    Top Answer:There are some important differences between both products. So probably, the first question I'll ask you is "for what use case are you evaluating these products?" Of course, there are some general… more »
    Top Answer:The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune… more »
    Top Answer:I am using the free version of IBM SPSS Modeler, it is the educational edition version.
    Ranking
    8th
    Views
    15,314
    Comparisons
    9,705
    Reviews
    2
    Average Words per Review
    433
    Rating
    9.5
    7th
    Views
    5,940
    Comparisons
    4,926
    Reviews
    6
    Average Words per Review
    608
    Rating
    8.7
    Comparisons
    Also Known As
    Dataiku DSS
    SPSS Modeler
    Learn More
    Overview

    Dataiku Data Science Studio is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.

    Dataiku Data Science Studio is also known as Dataiku DSS. This solution enables you to discover, share, and reuse code and applications so that you can deliver high-quality projects easily and streamline your path to production. As an enterprise leader, you can leverage the power of AI to confidently make business decisions.

    With Dataiku, an intuitive interface is guaranteed and allows users the ability to access and work with data using a point-and-click method. Dataiku analyzes the data to suggest key transformations. Beyond offering 109 data transformation capabilities, Dataiku also includes pipelines that can be generated in SQL which can thereafter be scheduled for automated recomputation.

    What's more, Dataiku allows you to create more than 20 different kinds of charts and also gives you the ability to deploy them into dashboards or create custom web applications for the use of interactive and sophisticated visualization tools.

    In addition, with Dataiku you have the option of using an in-depth statistical analysis, including but not limited to: curves fitting, univariate and bivariate analysis, principal component analysis, correlation analysis, and statistical tests.

    Dataiku Data Science Studio Consists Of:

    • Data preparation
    • Visualization
    • Machine Learning
    • Data Ops
    • ML Ops
    • Analytic Apps

    With Dataiku Data Science Studio You Can:

    • Integrate any data 10x faster
    • Build and automate sophisticated data pipelines
    • Build and share insights in minutes
    • Perform in-depth statistical analysis
    • Create thousands of models to find the best ones
    • Explore and explain models

    Dataiku Data Science Studio Benefits and Features:

    • Use your favorite languages and tools: You can create code working with tools you are already familiar with in the language you prefer (Python, R, SQL, etc.)
    • Easily reuse and share code: This feature helps you reduce inefficiencies and inconsistent data. Dataiku includes project libraries, allowing teams to centralize and share code. Although it comes pre-loaded with starter code for tasks, it also provides you with the ability to add your own code snippets.
    • Simplify complexities related to connecting to data and configuring computer resources: With this feature, data scientists can execute code in both a containerized and distributed way, while also selecting the runtime environment they want. Dataiku works to maintain those containers as well as shut them down when the job is completed.

    Features Users Find Most Valuable:

    • API
    • Reporting/Analytics
    • Third-Party Integrations
    • Data Import/Export
    • Natural Language Processing
    • Search/Filter
    • Monitoring
    • Workflow Management

    Reviews from Real Users

    IT Central Station users note that Dataiku Data Science Studio has a fantastic interface and is also flexible, intuitive, and stable. One user said "I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person." Another user mentioned “The best feature is the user interface. It allows us to see the visual flows.”

    IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

    Buy
    https://www.ibm.com/products/spss-modeler/pricing
     
    Sign up for the trial
    https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


    Offer
    Learn more about Dataiku Data Science Studio
    Learn more about IBM SPSS Modeler
    Sample Customers
    BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
    Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm16%
    Comms Service Provider11%
    Energy/Utilities Company7%
    REVIEWERS
    University24%
    Financial Services Firm17%
    Manufacturing Company10%
    Government10%
    VISITORS READING REVIEWS
    Comms Service Provider20%
    Computer Software Company14%
    Educational Organization10%
    Government8%
    Company Size
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise12%
    Large Enterprise74%
    REVIEWERS
    Small Business22%
    Midsize Enterprise8%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise13%
    Large Enterprise67%
    Buyer's Guide
    Data Science Platforms
    September 2022
    Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: September 2022.
    634,550 professionals have used our research since 2012.

    Dataiku Data Science Studio is ranked 8th in Data Science Platforms with 1 review while IBM SPSS Modeler is ranked 7th in Data Science Platforms with 4 reviews. Dataiku Data Science Studio is rated 10.0, while IBM SPSS Modeler is rated 8.8. The top reviewer of Dataiku Data Science Studio writes "The model is very useful". On the other hand, the top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". Dataiku Data Science Studio is most compared with Databricks, Alteryx, Microsoft Azure Machine Learning Studio, Amazon SageMaker and IBM SPSS Statistics, whereas IBM SPSS Modeler is most compared with KNIME, IBM SPSS Statistics, Alteryx, IBM Watson Studio and Microsoft BI.

    See our list of best Data Science Platforms vendors.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.