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Compare BigML and Minitab Statistical Software 
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At a Glance
Market Segments
Small-Business (87.5% of reviews)
Enterprise (48.3% of reviews)
Entry-Level Pricing
$30 per month
No pricing available
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 plansMinitab Statistical Software
Star Rating
(220)4.6 out of 5
Market Segments
Enterprise (48.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Minitab Statistical SoftwareBigML vs Minitab Statistical Software
When assessing the two solutions, reviewers found BigML easier to use, set up, and administer. Reviewers also preferred doing business with BigML overall.
- Reviewers felt that BigML meets the needs of their business better than Minitab Statistical Software.
- When comparing quality of ongoing product support, reviewers felt that BigML is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of BigML over Minitab Statistical Software.
Pricing
Entry-Level Pricing
BigML
STANDARD
$30
per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 64 MB
- MAX. PARALLEL TASKS: 2
Minitab Statistical Software
No pricing availableFree Trial
BigML
No trial information availableMinitab Statistical Software
Free Trial is available
Ratings
Meets Requirements
9.2
24
9.1
189
Ease of Use
9.0
24
8.6
194
Ease of Setup
9.2
22
8.6
101
Ease of Admin
9.3
22
8.4
45
Quality of Support
9.5
22
8.8
161
Has the product been a good partner in doing business?
9.1
22
8.6
48
Product Direction (% positive)
9.5
24
8.7
186
Features by Category
Administration
Not enough data
8.2
141
Not enough data
8.4
144
Not enough data
8.1
135
Capabilities
Not enough data
8.8
145
Not enough data
8.3
134
Not enough data
8.1
130
Not enough data
7.6
128
Methodology
Not enough data
8.9
139
Not enough data
8.9
139
Not enough data
8.8
130
Generative AI
Not enough data
6.4
34
Not enough data
6.3
34
Calculating
Not enough data
8.7
35
Not enough data
8.9
32
Insights
Not enough data
9.1
35
Not enough data
9.2
35
Editing
Not enough data
8.4
33
Not enough data
Feature Not Available
Not enough data
8.5
33
Functionality
Not enough data
8.3
30
Not enough data
7.9
31
Not enough data
8.4
34
Not enough data
8.6
32
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
Integration - Machine Learning
Not enough data
9.7
5
Learning - Machine Learning
Not enough data
9.7
5
Not enough data
9.7
5
Not enough data
9.7
5
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
8.1
61
Not enough data
8.1
63
Not enough data
8.3
62
Data Analysis
Not enough data
8.8
65
Not enough data
8.8
64
Decision Making
Not enough data
8.8
64
Not enough data
8.8
65
Not enough data
8.7
65
Not enough data
8.3
62
Generative AI
Not enough data
7.3
16
Not enough data
7.4
16
Categories
Categories
Shared Categories
BigML and Minitab Statistical Software are categorized as Predictive Analytics
Unique Categories
BigML is categorized as Data Science and Machine Learning Platforms and Low-Code Machine Learning Platforms
Minitab Statistical Software is categorized as Statistical Analysis, Spreadsheets, Machine Learning, and Time Series Intelligence
Reviews
Reviewers' Company Size
BigML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Minitab Statistical Software
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%
Automotive
11.1%
Manufacturing
10.6%
Medical Devices
7.7%
Research
5.3%
Information Technology and Services
5.3%
Other
59.9%
Discussions
BigML has no discussions with answers
Is Minitab free for students?
2 Comments
GY
They provide one month Free trail for students.Read more
What is Minitab software used for?
1 Comment
JF
I use Minitab for our Process and Product Continiuos Improvements.Read more
What is Minitab Statistical Software used for?
1 Comment
JP
It is a statistical software package for data analysis, visualization, and process improvement, used across industries like business, healthcare, and...Read more
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