IBM SPSS Statistics vs. WinSPC

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM SPSS Statistics
Score 8.2 out of 10
N/A
SPSS 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).
$105
per month per user
WinSPC
Score 0.0 out of 10
N/A
Formerly from DataNet and now from Advantive, WinSPC is a statistical analysis software that empowers manufacturers to improve products, processes, and profitability through real-time statistics.N/A
Pricing
IBM SPSS StatisticsWinSPC
Editions & Modules
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 105
per month per user
Annual subscription
USD 1,188.00
per year per user
No answers on this topic
Offerings
Pricing Offerings
IBM SPSS StatisticsWinSPC
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM SPSS StatisticsWinSPC
Considered Both Products
IBM SPSS Statistics
Chose IBM SPSS Statistics
SPSS strikes the right balance between power and usability. Unlike SAS Viya, it does not require huge investment or specialized staff. It goes far beyond basic statistics when compared to MS Excel and it is very versatile to support multiple departments and business function. …
Chose IBM SPSS Statistics
It's easier to learn and use for the non-data scientist. it integrates well with other IBM products, and it priced appropriately and can scale up as needed.
Chose IBM SPSS Statistics
Excel is fine for baseline level data analysis, but it is more user heavy to perform certain functions. IBM SPSS Statistics allows for the user to do less taxing work in the analysis portion with its preset tools and functions.
Chose IBM SPSS Statistics
It's all about the interface to me. The interface saves me a lot of time. Being able to point and click on variables and options rather than write code is a huge benefit. Of all the programs I tested, PSPP is the only one that comes close to meeting my needs.
Chose IBM SPSS Statistics
I mainly use IBM SPSS Statistics because my university offers it to everyone for free. IBM SPSS Statistics handles statistical functions in a simple way that is easy to learn.
Chose IBM SPSS Statistics
SAS is a very good product. SPSS provided our firm everythinbg we needed and was well within our budget. Also know that IBM is contunusely investing into SPSS. The roadmaps looks good.
Chose IBM SPSS Statistics
Advanced statistical analysis is possible which is not possible in powerbi. It is very much easy to prepare basic charts. I dept statistical tests like regression analysis can be done. It is user -friendly and even layman can understand basic data easily through IBM SPSS's …
Chose IBM SPSS Statistics
I also point out that the two softwares are complementary, then IBM SPSS Statistics works very well with statistical tests, creation and visualization of detailed tables and creation of statistical project models and project models. The IBM SPSS Modeler helps you quickly view …
Chose IBM SPSS Statistics
Better breadth of services, better product functionality and performance, strong services expertise
Chose IBM SPSS Statistics
I have also used other statistical software such as the SAP Predictive Analytics software, SAP possesses most of the decode options as SPS, but it is not as graphical and easier to use as SPS. Thus, IBM SPSS Statistics was chosen as a primary and powerful statistical tool that …
Chose IBM SPSS Statistics
IBM SPSS Statistics stacks up much better and overall gives the user a much better as well as simpler means to achieve their end goal. It provides a comprehensive set of well tested data management, along with statistical procedures in an easy to use and all in one package …
Chose IBM SPSS Statistics
Both offer strong data analysis capabilities, but SPSS stands out for its user-friendly interface and built-in statistical tests.
Chose IBM SPSS Statistics
If you have made it this far, you should have a very good idea of how SPSS stacks up the competition (data processing and analytics tools). Even the free ones, such as r Studio or Stata, are leaps and bounds ahead of SPSS. IBM is resting on a reputation developed nearly 30 …
Chose IBM SPSS Statistics
We used IBM SPSS Statistics as it works well with the other IBM tools that we use. It may not work as well for smaller organizations with limited budget/resources.
We have a mix of technical and devops people and this tool is easily used by everyone on the team globally.
Chose IBM SPSS Statistics
I have on many occasions launched new versions of a big Python application in production, only to immediately drown in errors, caused by exceptions that were in turn caused by Python code where a single glance confirmed that it could never ever work and consequently had never …
Chose IBM SPSS Statistics
IBM SPSS Statistics is much more professional and geared towards market research applications. The built in queries save time and avoid mistakes. In Excel you can also do powerful things, but it is less geared towards scientific or statistical research. Running a regression …
Chose IBM SPSS Statistics
IBM SPSS Statistics is much easier to use, even in classes with students, compared to other similar data analytic software that I have used previously. I selected it because of this reason and I plan to continue using it in the future. The interface is user friendly and the …
Chose IBM SPSS Statistics
I, along with my supervised research student, used IBM SPSS Statistics compared to other software because of its simplicity and user-friendliness. A timeframe is a fundamental part of research work. Time is precious for both of us in terms of research work and using IBM SPSS …
Chose IBM SPSS Statistics
The price of IBM SPSS and its quality-price ratio was one of the triggers for choosing the software over the competition. The ease of obtaining a demo of the product and the continuous training it presents was another of the key points in the decision making we made in the …
Chose IBM SPSS Statistics
In addition to IBM SPSS Statistics, we also use statistical programming languages such as R and Python to perform data manipulation and analysis.

In general, SPSS seems to be better for novice users, because it has a much more straightforward interface and an easier learning …
Chose IBM SPSS Statistics
Deriving outcomes using the statistical analysis is the major advantage over all the above tools.
Chose IBM SPSS Statistics
- It's very user-friendly.
- It can be used from simple to advanced analytics.
- It runs faster and smoother than other software.
Chose IBM SPSS Statistics
Its better for quick tasks, Psychology, Sociology, may lack in complex models, AI, or business-decision-making models. It's better for things that you want to compare, correlate or detect influence of one on the other. It's worse that R for complex models, custom models, big …
WinSPC

No answer on this topic

Best Alternatives
IBM SPSS StatisticsWinSPC
Small Businesses

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IBM SPSS Statistics
IBM SPSS Statistics
Score 8.2 out of 10
Medium-sized Companies
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All AlternativesView all alternativesView all alternatives
User Ratings
IBM SPSS StatisticsWinSPC
Likelihood to Recommend
7.5
(0 ratings)
-
(0 ratings)
Likelihood to Renew
8.5
(0 ratings)
-
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
Availability
6.0
(0 ratings)
-
(0 ratings)
Performance
6.0
(0 ratings)
-
(0 ratings)
Support Rating
6.4
(0 ratings)
-
(0 ratings)
Implementation Rating
8.7
(0 ratings)
-
(0 ratings)
Configurability
5.0
(0 ratings)
-
(0 ratings)
Ease of integration
5.0
(0 ratings)
-
(0 ratings)
Product Scalability
5.0
(0 ratings)
-
(0 ratings)
Vendor post-sale
5.0
(0 ratings)
-
(0 ratings)
Vendor pre-sale
5.0
(0 ratings)
-
(0 ratings)
User Testimonials
IBM SPSS StatisticsWinSPC
Likelihood to Recommend
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.
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Pros
  • 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.
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Cons
  • 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.
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Likelihood to Renew
It's super easy to use for newbies and super powerful for power users! It does EVERYTHING you are usually asked to do analytically. Their Help Desk is PHENOMENAL. And I find the upgrade and renewal price to be a good deal.
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Usability
SPSS is beginner friendly and user-friendly for beginner analysts and simple statistical tests. It's "click and go" interface does take some learning, but overall this is much easier than other programs I have used and seen. Compared to SAS software, SPSS takes a great deal less familiarizing and it not a matter of learning a coding language like SAS and RStudio.
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Reliability and Availability
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
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Performance
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.
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Support Rating
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
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Implementation Rating
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.
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Alternatives Considered
It's all about the interface to me. The interface saves me a lot of time. Being able to point and click on variables and options rather than write code is a huge benefit. Of all the programs I tested, PSPP is the only one that comes close to meeting my needs.
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Scalability
I am neutral because I have not had to look into scalability since I am using as a student.
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Return on Investment
  • 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.
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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