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Alteryx vs IBM SPSS Statistics comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Alteryx and IBM SPSS Statistics 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 Alteryx vs. IBM SPSS Statistics report (Updated: September 2022).
633,572 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
"The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most.""I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users.""Alteryx has helped us spend more time identifying results instead of performing analysis manually. It has helped us in our loading process, including scrubbing data and identifying data elements that need to be corrected. It enables us to understand our data sets a lot better.""The connectors are a very good feature.""The most valuable feature of Alteryx is user-friendliness.""Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful.""The product's Macros probably are one of the most useful aspects.""Alteryx effectively visualizes the flow of data and what happens at each stage. I also like that it's a no-code solution. I also like that you can troubleshoot certain parts of the workflow by putting them in a sandbox."

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"SPSS is quite robust and quicker in terms of providing you the output.""The features that I have found most valuable are the Bayesian statistics and descriptive statistics.""The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful.""The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial.""The most valuable features are the small learning curve and its ability to hold a lot of data.""The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it.""SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools.""Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."

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Cons
"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown.""A colleague of mind mentioned that the solution should have more options for the visualization of data.""Alteryx is just as complicated as coding, in my opinion.""Deep learning models are not currently supported.""I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing.""There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant.""It should have Linux support. It currently supports only Windows. It does not support any other platform. Its price should also be lower. Their US partner management program is actually unresponsive. One of the reasons why we don't have a formalized partnership plan with them is because their partner management team is atrociously unresponsive. This is something that they need to change.""There are a few imputation techniques which they really need to include."

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"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution.""The solution could improve by providing a visual network for predictions and a self-organizing map for clustering.""The technical support should be improved.""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.""I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities.""IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert.""There is a learning curve; it's not very steep, but there is one.""I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."

More IBM SPSS Statistics Cons →

Pricing and Cost Advice
  • "I don't know much about the licensing, but there are some additional costs for certain features."
  • "The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."
  • "Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing."
  • "My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive."
  • "In order to have designers, and, if you want to collaborate, you have to buy a server. If the designer is $5,000, and if you want a server, you have to pay $80,000."
  • "There is a license required for this solution."
  • "The cost of the solution could be reduced."
  • "The price could be better."
  • More Alteryx Pricing and Cost Advice →

  • "It's quite expensive, but they do a special deal for universities."
  • "The price of IBM SPSS Statistics could improve."
  • "SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."
  • More IBM SPSS Statistics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
    Top Answer:Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of… more »
    Top Answer:I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. -… more »
    Top Answer:The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the… more »
    Top Answer:IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert.
    Ranking
    2nd
    Views
    29,584
    Comparisons
    20,529
    Reviews
    31
    Average Words per Review
    515
    Rating
    8.1
    5th
    Views
    4,487
    Comparisons
    3,182
    Reviews
    10
    Average Words per Review
    664
    Rating
    8.4
    Comparisons
    Also Known As
    SPSS Statistics
    Learn More
    Overview

    Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.

    With Alteryx You Can:

    • Prep, blend, and analyze data
    • Deliver faster, better business outcomes
    • Automate analytics and data science
    • Embed intelligent decisioning
    • Deploy and share analytics in hours

    Alteryx Features Include:

    Some of the most valuable Alteryx features include:

    Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.

    Alteryx Can Be Used For:

    • Combining and manipulating data within spreadsheets: Alteryx can be used in situations where complex data manipulation occurs. It can handle large data quickly, and the process is much simpler to see and understand.

    • Database access and supplementing SQL development: Alteryx has several sets of database connectors and functions, including many functions that your average database does not. Alteryx can work with data from multiple databases or areas within a database. It allows users to filter, sort, calculate, etc. as they would commonly do in SQL or an ETL tool.
    • API, cloud, and hybrid access: Alteryx can read and write data in databases, files, REST APIs, and a myriad of other locations (with the correct permissions). When a workflow is published, you can also call a workflow through a REST API to start it.

    • Data science: Alteryx provides pre-built models that are extremely useful for data scientists who may have limited programming skills and also gives you the ability to add R or Python code directly within a workflow.

    • Geospatial analysis: Alteryx gives users drag-and-drop tools to geocode, plot, and map locations, customers, competitors, or anything that has a location (employee, truck, pipeline, etc.).

    • Reports and dashboards: Alteryx provides built-in tools that enable the building of reports and dashboards.

    Alteryx Benefits

    Some of the benefits of using Alteryx include
    :

    • Saves time: Alteryx helps shorten the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.

    • Clear tool configurations: Alteryx provides simple and concise tool configurations that are quick and easy to set.

    • Excellent workflow compatibility.

    • Reduced development time: Alteryx has an extensive gallery of user-developed analytic applications that helps to reduce development time.

    • Fast data loading: Alteryx has tools that make it very effective when working with big data sets.

    • No-code, low-code analytic building blocks: You can prep, blend, and analyze data to enable highly configurable and repeatable workflows.

    • Machine learning: Alteryx allows you to quickly create properly trained algorithms that are ready to deploy.

    Reviews from Real Users

    "Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm

    "Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation

    "The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company

    "The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company

    “A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company

    "There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company





    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 Alteryx
    Learn more about IBM SPSS Statistics
    Sample Customers
    AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
    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
    REVIEWERS
    Manufacturing Company15%
    Computer Software Company12%
    Energy/Utilities Company9%
    Pharma/Biotech Company9%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company17%
    Comms Service Provider8%
    Manufacturing Company7%
    REVIEWERS
    University44%
    Financial Services Firm17%
    Aerospace/Defense Firm6%
    Non Profit6%
    VISITORS READING REVIEWS
    Comms Service Provider23%
    Educational Organization11%
    Computer Software Company11%
    Government9%
    Company Size
    REVIEWERS
    Small Business34%
    Midsize Enterprise16%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise72%
    REVIEWERS
    Small Business36%
    Midsize Enterprise20%
    Large Enterprise44%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise17%
    Large Enterprise66%
    Buyer's Guide
    Alteryx vs. IBM SPSS Statistics
    September 2022
    Find out what your peers are saying about Alteryx vs. IBM SPSS Statistics and other solutions. Updated: September 2022.
    633,572 professionals have used our research since 2012.

    Alteryx is ranked 2nd in Data Science Platforms with 31 reviews while IBM SPSS Statistics is ranked 5th in Data Science Platforms with 10 reviews. Alteryx is rated 8.2, while IBM SPSS Statistics is rated 8.6. The top reviewer of Alteryx writes "Plenty of capability and works well for those who don't want to program and don't use algorithms heavily". On the other hand, the top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". Alteryx is most compared with KNIME, Dataiku Data Science Studio, Databricks, SAS Enterprise Guide and QlikView, whereas IBM SPSS Statistics is most compared with IBM SPSS Modeler, Microsoft Azure Machine Learning Studio, Weka, TIBCO Statistica and Google Cloud Datalab. See our Alteryx vs. IBM SPSS Statistics report.

    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.