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Compare BigML and IBM SPSS Statistics 
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At a Glance
Market Segments
Small-Business (87.5% of reviews)
Enterprise (43.2% of reviews)
Entry-Level Pricing
$30 per month
Starting at $99.00 1 User Per Month
BigML
Star Rating
(24)4.7 out of 5
Market Segments
Small-Business (87.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
$30 per month
Browse all 3 pricing plansIBM SPSS Statistics
Star Rating
(916)4.2 out of 5
Market Segments
Enterprise (43.2% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $99.00 1 User Per Month
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM SPSS Statistics has a solid statistical analysis capability, particularly with its advanced features like regression analysis and ANOVA, but reviewers mention that it can be complex for beginners, leading to a lower ease of use score (7.9) compared to BigML's intuitive interface (9.0).
- Reviewers mention that BigML excels in ease of setup (9.2) and administration (9.3), with users appreciating its straightforward onboarding process and user-friendly dashboard, while IBM SPSS Statistics received lower scores (7.8 for setup and 7.6 for admin) due to its more intricate installation and management requirements.
- G2 users highlight that BigML's quality of support (9.5) is significantly better than IBM SPSS Statistics (7.6), with many reviewers praising BigML's responsive customer service and extensive documentation, which helps users resolve issues quickly.
- Users on G2 report that BigML is particularly well-suited for small businesses (87.5% of reviews), offering a more affordable entry-level price of $30 per month, while IBM SPSS Statistics, with a starting price of $99.00, is more favored by enterprise users (43.5% of reviews), indicating a difference in target market focus.
- Reviewers mention that while IBM SPSS Statistics has a strong reputation for meeting requirements (8.5), BigML outshines it with a higher score (9.2), as users appreciate its machine learning capabilities and ease of integration with other tools, making it a more versatile option for data-driven projects.
- Users say that BigML's product direction (9.5) is viewed positively, with many noting regular updates and feature enhancements, while IBM SPSS Statistics (6.4) has been criticized for slower innovation, leading to concerns about its long-term viability in a rapidly evolving market.
Pricing
Entry-Level Pricing
BigML
STANDARD
$30
per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 64 MB
- MAX. PARALLEL TASKS: 2
IBM SPSS Statistics
Base Subscription: Monthly auto-renewal - Buy online
Starting at $99.00
1 User Per Month
Experience the ease of statistical analysis with IBM SPSS Statistics. Try it for free and see for yourself why it's the preferred choice for data analysis.
- Desktop edition available on Windows and Mac
- A variety of statistical procedures such as factor analysis, clustering and linear regression
- Advanced data preparation and bootstrapping capabilities
Free Trial
BigML
No trial information availableIBM SPSS Statistics
Free Trial is available
Ratings
Meets Requirements
9.2
24
8.5
779
Ease of Use
9.0
24
7.9
783
Ease of Setup
9.2
22
7.9
172
Ease of Admin
9.3
22
7.6
134
Quality of Support
9.5
22
7.6
589
Has the product been a good partner in doing business?
9.1
22
8.0
128
Product Direction (% positive)
9.5
24
6.5
755
Features by Category
Administration
Not enough data
8.4
185
Not enough data
8.7
201
Not enough data
Feature Not Available
Capabilities
Not enough data
7.8
219
Not enough data
8.4
182
Not enough data
8.1
165
Not enough data
8.2
162
Methodology
Not enough data
9.0
201
Not enough data
9.1
214
Not enough data
8.8
186
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
7.2
204
Not enough data
Feature Not Available
Not enough data
7.7
208
Data Analysis
Not enough data
8.9
320
Not enough data
Feature Not Available
Decision Making
Not enough data
7.6
245
Not enough data
7.0
298
Not enough data
7.4
266
Not enough data
Feature Not Available
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
BigML and IBM SPSS Statistics are categorized as Predictive Analytics
Unique Categories
BigML is categorized as Data Science and Machine Learning Platforms and Low-Code Machine Learning Platforms
IBM SPSS Statistics is categorized as Statistical Analysis
Reviews
Reviewers' Company Size
BigML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM SPSS Statistics
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
83.3%
Management Consulting
4.2%
International Trade and Development
4.2%
Electrical/Electronic Manufacturing
4.2%
Alternative Dispute Resolution
4.2%
Other
0.0%
Higher Education
26.6%
Research
16.6%
Market Research
7.5%
Education Management
7.5%
Hospital & Health Care
6.6%
Other
35.2%
Alternatives
Discussions
BigML has no discussions with answers
Classes?
4 Comments
G2
Dear Diego. That is right. SPSS is a complex software. Firstly, I recoomend you think about what do you need to do with it. For example, it is very differnt...Read more
Is there possibility that IBM SPSS can be incoperated with other plugins.
2 Comments
GT
I know that SPSS has an R integration which can use several routines from R.Read more
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