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Dataiku Data Science Studio vs IBM SPSS Statistics comparison

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Quotes From Members
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Here are some excerpts of what they said:
Pros
"The solution is quite stable."

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"SPSS is quite robust and quicker in terms of providing you the output.""You can quickly build models because it does the work for you.""The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful.""It is a modeling tool with helpful automation.""The most valuable features are the small learning curve and its ability to hold a lot of data.""The features that I have found most valuable are the Bayesian statistics and descriptive statistics.""The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS.""Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."

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Cons
"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."

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"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them.""I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input.""It could allow adding color to data models to make them easier to interpret.""One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated.""SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer.""The solution needs more planning tools and capabilities.""This solution is not suitable for use with Big Data.""It could provide even more in the way of automation as there are many opportunities."

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Pricing and Cost Advice
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  • "The price of this solution is a little bit high, which was a problem for my company."
  • "The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
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    Questions from the Community
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    Top Answer: 
    SPSS is quite robust and quicker in terms of providing you the output.
    Top Answer: 
    You can download it for free, but if you want to enable the professional features, you can buy one license if that's all you need. But if you have many collaborators and want to add more contributors… more »
    Top Answer: 
    From an improvement standpoint, I could compare to PyCharm and see how many other things you can automate things. In PyCharm you use Python and have a lot of packages. SPSS is missing out on some of… more »
    Ranking
    8th
    Views
    16,271
    Comparisons
    10,231
    Reviews
    1
    Average Words per Review
    676
    Rating
    9.0
    5th
    Views
    4,224
    Comparisons
    3,300
    Reviews
    13
    Average Words per Review
    716
    Rating
    8.0
    Comparisons
    Also Known As
    Dataiku DSS
    SPSS Statistics
    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.”

    Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.
    Offer
    Learn more about Dataiku Data Science Studio
    Learn more about IBM SPSS Statistics
    Sample Customers
    BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
    LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company25%
    Comms Service Provider15%
    Financial Services Firm12%
    Energy/Utilities Company6%
    REVIEWERS
    University38%
    Financial Services Firm19%
    Aerospace/Defense Firm6%
    Non Profit6%
    VISITORS READING REVIEWS
    Comms Service Provider25%
    Computer Software Company17%
    Educational Organization13%
    Government8%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise14%
    Large Enterprise67%
    REVIEWERS
    Small Business32%
    Midsize Enterprise23%
    Large Enterprise45%
    Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2022.
    563,208 professionals have used our research since 2012.

    Dataiku Data Science Studio is ranked 8th in Data Science Platforms with 1 review while IBM SPSS Statistics is ranked 5th in Data Science Platforms with 13 reviews. Dataiku Data Science Studio is rated 9.0, while IBM SPSS Statistics is rated 8.2. The top reviewer of Dataiku Data Science Studio writes "Flexible and intuitive with good stability". On the other hand, the top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". Dataiku Data Science Studio is most compared with Alteryx, Databricks, Microsoft Azure Machine Learning Studio, KNIME and IBM SPSS Modeler, whereas IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka, Alteryx, TIBCO Statistica and SAP Predictive Analytics.

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