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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    JMP

    Score9.2 out of 10
    N/AJMP® is statistical analysis software with capabilities that span from data access to advanced statistical techniques, with click of a button sharing. The software is interactive and visual, and statistically deep enough to allow users to see and explore data.

    $1,320

    per year per user

    Pricing
    IBM SPSS StatisticsJMP
    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 99
    per month per user
    Annual subscription
    USD 1,188.00
    per year per user
    JMP
    $1320
    per year per user
    Offerings
    Pricing Offerings
    IBM SPSS StatisticsJMP
    Free Trial
    YesYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Bulk discounts available.
    More Pricing Information
    Community Pulse
    IBM SPSS StatisticsJMP
    Considered Both Products
    IBM
    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 …
    Incentivized
    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 …
    Incentivized
    Chose IBM SPSS Statistics
    None
    Incentivized
    Chose IBM SPSS Statistics
    Compared to other similar programs such as R or SAS I find that SPSS is more user friendly to the researcher. I also have noticed that SPSS is more commonly used in other companies and schools research studies. This is great because it can allow for a step by step replication …
    Incentivized
    Chose IBM SPSS Statistics
    I much prefer SPSS
    Incentivized
    Chose IBM SPSS Statistics
    I use Stata for tasks that SPSS cannot support, but ultimately SPSS has a short learning curve, strong statistical processing, and a mature tool set. SAS is also mature, but more programming based. JMP tries to 2nd guess what I need. NOTE: R (open source) is a great option …
    Incentivized
    Chose IBM SPSS Statistics
    If I didn't want to code, IBM SPSS would be after JMP and Tableau, and before SAS and R. The user interface is very clunky compared to the analytics software I stated. You could definitely learn to do basic analysis faster in SAS than SPSS. I selected SPSS to test the …
    Incentivized
    Chose IBM SPSS Statistics
    I have also used RStudio and SAS previously. In fact, I'm currently using RStudio since our SPSS license has expired. SPSS lacks the capabilities of these other two programs and it is far less intuitive. Larger data sets can be analyzed with R and SAS, but using these programs …
    Incentivized
    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 …
    Incentivized
    JMP Statistical Discovery
    Chose JMP
    We just needed to get the output that contains the statistical output, graphs but no programming.
    Incentivized
    Chose JMP
    Compared to other, similar programs, JMP is outstanding in ease of use and ability to be used by almost anyone across an organization. It is more fluid, user friendly, and, most importantly, requires no coding experience. The only two areas where it is not as good as …
    Incentivized
    Chose JMP
    For me, JMP is the best and easy way to run regressions. I wouldn't use it for other more advanced models. I decided to use it because we got it for free since we are technically an academic institution.
    Incentivized
    Chose JMP
    For what it does, it has better value and is easier to train other users to use.
    Incentivized
    Chose JMP
    We actually use both JMP and IBM SPSS, but I think JMP's complexity lends itself to more in-depth statistical analyses. SPSS is designed for that as well, but we tend to use it more for quicker analyses, and we have found that JMP is far more powerful.
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    User Ratings
    IBM SPSS StatisticsJMP
    Likelihood to Recommend
    4.1
    (91 ratings)
    9.0
    (29 ratings)
    Likelihood to Renew
    8.6
    (22 ratings)
    10.0
    (16 ratings)
    Usability
    8.0
    (14 ratings)
    8.0
    (6 ratings)
    Availability
    6.0
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    6.0
    (1 ratings)
    10.0
    (1 ratings)
    Support Rating
    6.4
    (12 ratings)
    9.2
    (7 ratings)
    Online Training
    -
    (0 ratings)
    7.9
    (3 ratings)
    Implementation Rating
    8.7
    (7 ratings)
    9.6
    (2 ratings)
    Configurability
    5.0
    (1 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    4.0
    (1 ratings)
    Data Sources
    -
    (0 ratings)
    5.0
    (1 ratings)
    Ease of integration
    5.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    5.0
    (1 ratings)
    10.0
    (1 ratings)
    Vendor post-sale
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    5.0
    (1 ratings)
    -
    (0 ratings)