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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Dataiku

    Score7.5 out of 10
    N/AThe Dataiku platform unifies all data work, from analytics to Generative AI. It can modernize enterprise analytics and accelerate time to insights with visual, cloud-based tooling for data preparation, visualization, and workflow automation.N/A

    IBM SPSS Statistics

    Score7.7 out of 10
    N/ASPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).

    $99

    per month per user

    Pricing
    DataikuIBM SPSS Statistics
    Editions & Modules
    Discover
    Contact sales team
    Business
    Contact sales team
    Enterprise
    Contact sales team
    Base
    USD 3,830
    one-time fee per user
    Standard
    USD 8,440
    one-time fee per user
    Professional
    USD 16,900
    one-time fee per user
    Premium
    USD 25,200
    one-time fee per user
    Monthly subscription
    USD 99
    per month per user
    Annual subscription
    USD 1,188.00
    per year per user
    Offerings
    Pricing Offerings
    DataikuIBM SPSS Statistics
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    DataikuIBM SPSS Statistics
    Considered Both Products
    Dataiku
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    90%
    Would buy again
    28 Answers
    Delivers good value for the price
    No answers on this topic
    89%
    Delivers good value for the price
    24 Answers
    Happy with the feature set
    No answers on this topic
    97%
    Happy with the feature set
    30 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    95%
    Lived up to sales and marketing promises
    18 Answers
    Implementation went as expected
    No answers on this topic
    95%
    Implementation went as expected
    18 Answers
    Features
    DataikuIBM SPSS Statistics
    Platform Connectivity
    Comparison of Platform Connectivity features of Dataiku and IBM SPSS Statistics
    Feature
    Dataiku
    9.1
    4 Ratings
    8% above category average
    IBM SPSS Statistics
    -
    Ratings
    Connect to Multiple Data Sources10.04 Ratings00 Ratings
    Extend Existing Data Sources10.04 Ratings00 Ratings
    Automatic Data Format Detection10.04 Ratings00 Ratings
    MDM Integration6.52 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Dataiku and IBM SPSS Statistics
    Feature
    Dataiku
    10.0
    4 Ratings
    18% above category average
    IBM SPSS Statistics
    -
    Ratings
    Visualization9.94 Ratings00 Ratings
    Interactive Data Analysis10.04 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Dataiku and IBM SPSS Statistics
    Feature
    Dataiku
    10.0
    4 Ratings
    20% above category average
    IBM SPSS Statistics
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.04 Ratings00 Ratings
    Data Transformations10.04 Ratings00 Ratings
    Data Encryption10.04 Ratings00 Ratings
    Built-in Processors10.04 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Dataiku and IBM SPSS Statistics
    Feature
    Dataiku
    8.7
    4 Ratings
    4% above category average
    IBM SPSS Statistics
    -
    Ratings
    Multiple Model Development Languages and Tools5.14 Ratings00 Ratings
    Automated Machine Learning10.04 Ratings00 Ratings
    Single platform for multiple model development10.04 Ratings00 Ratings
    Self-Service Model Delivery10.04 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Dataiku and IBM SPSS Statistics
    Feature
    Dataiku
    9.0
    4 Ratings
    5% above category average
    IBM SPSS Statistics
    -
    Ratings
    Flexible Model Publishing Options9.04 Ratings00 Ratings
    Security, Governance, and Cost Controls9.04 Ratings00 Ratings
    Best Alternatives
    DataikuIBM SPSS Statistics
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    No answers on this topic
    Medium-sized Companies
    Anaconda
    Score8.1 out of 10
    Alteryx Platform
    Score8.9 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Alteryx Platform
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DataikuIBM SPSS Statistics
    Likelihood to Recommend
    10.0
    (4 ratings)
    4.2
    (91 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.6
    (22 ratings)
    Usability
    10.0
    (1 ratings)
    8.0
    (14 ratings)
    Availability
    -
    (0 ratings)
    6.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    6.0
    (1 ratings)
    Support Rating
    9.4
    (3 ratings)
    6.4
    (12 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.7
    (7 ratings)
    Configurability
    -
    (0 ratings)
    5.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    5.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    5.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    DataikuIBM SPSS Statistics
    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.
    Incentivized
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    IBM
    I described earlier that the only scenarios where I use SPSS are those where we have legacy projects that were developed in the late 90s or early 2000s using SPSS, and for some reason, the project (data set, scope, etc.) hasn't changed in 24+ years. This counts for 1-2 out of around 80 projects that I run. Whenever possible, I actively have my team move away from SPSS, even when that process is painful.
    Incentivized
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    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.
    Incentivized
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    IBM
    • SPSS has been around for quite a while and has amassed a large suite of functionality. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder.
    • Many statistics package users are doing scientific research with an eye to publish reproducible results. SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. It's very portable!
    • SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward.
    • SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.
    • In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu. There are even several fully-fledged tutorial websites out there for newbie perusal.
    Incentivized
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    Cons
    Dataiku
    • End product deployment.
    Incentivized
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    IBM
    • collaboration - SPSS lacks collaboration features which makes it near impossible to collaborate with my team on analysis. We have to send files back and forth, which is tedious.
    • integration - I wish SPSS had integration capabilities with some of the other tools that I use (e.g., Airtable, Figma, etc.)
    • user interface - this could definitely be modernized. In my experience, the UI is clunky and feels dated, which can negatively impact my experience using the tool.
    Incentivized
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    Likelihood to Renew
    Dataiku
    No answers on this topic
    IBM
    Both
    money and time are essential for success in terms of return on investment for any kind of research based project work. Using a Likert-scale questionnaire is very easy for data entry and analysis
    using IBM SPSS. With the help of IBM SPSS, I found very fast and reliable data
    entry and data analysis for my research. Output from SPSS is very easy to
    interpret for data analysis and findings
    Incentivized
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    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.
    Incentivized
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    IBM
    Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.
    Incentivized
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    Reliability and Availability
    Dataiku
    No answers on this topic
    IBM
    SPSS can tend to crash when I am trying to do a lot of data. This can slow me down when I need to do a lot of data
    Incentivized
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    Performance
    Dataiku
    No answers on this topic
    IBM
    SPSS does the job, but it can be slow. I do have to plan a lot of time to get through a huge amount of data.
    Incentivized
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    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.
    Incentivized
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    IBM
    I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end
    Read full review
    Implementation Rating
    Dataiku
    No answers on this topic
    IBM
    Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.
    Incentivized
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    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.
    Incentivized
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    IBM
    I have used R when I didn't have access to SPSS. It takes me longer because I'm terrible at syntax but it is powerful and it can be enjoyable to only have to wrestle with syntax and not a difficult UI.
    Incentivized
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    Scalability
    Dataiku
    No answers on this topic
    IBM
    I am neutral because I have not had to look into scalability since I am using as a student.
    Incentivized
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    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.
    Incentivized
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    IBM
    • I found SPSS easier to use than SAS as it's more intuitive to me.
    • The learning curve to use SPSS is less compared to SAS.
    • I used SAS, to a much lesser extent than SPSS. However, it seems that SAS may be more suitable for users who understand programming. With SPSS, users can perform many statistical tests without the need to know programming.
    Incentivized
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    ScreenShots

    IBM SPSS Statistics Screenshots

    Screenshot of SPSS Statistics Forecasting. This enables users to build time-series forecasts regardless of their skill level.Screenshot of SPSS Statistics Regression. These predict categorical outcomes and apply nonlinear regression procedures.Screenshot of IBM SPSS Statistics Neural Networks. These can discover complex relationships and improve predictive models.Screenshot of IBM SPSS Statistics Curated Help. These can interpret correlation output.Screenshot of IBM SPSS Statistics AI Output Assistant interprets statistical output in easy to consume language