Compare BigML and Posit 
At a Glance
Market Segments
Small-Business (87.5% of reviews)
Enterprise (48.6% 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 plansPosit
Star Rating
(569)4.5 out of 5
Market Segments
Enterprise (48.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about PositBigML vs Posit
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 Posit.
- 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 Posit.
Pricing
Entry-Level Pricing
BigML
STANDARD
$30
per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 64 MB
- MAX. PARALLEL TASKS: 2
Posit
No pricing availableFree Trial
BigML
No trial information availablePosit
Free Trial is available
Ratings
Meets Requirements
9.2
24
9.1
500
Ease of Use
9.0
24
8.4
500
Ease of Setup
9.2
22
8.8
110
Ease of Admin
9.3
22
8.3
92
Quality of Support
9.5
22
8.1
407
Has the product been a good partner in doing business?
9.1
22
8.6
83
Product Direction (% positive)
9.5
24
8.5
492
Features by Category
Administration
Not enough data
8.7
77
Not enough data
9.2
82
Not enough data
8.3
78
Capabilities
Not enough data
9.0
89
Not enough data
8.9
67
Not enough data
8.9
55
Not enough data
8.8
59
Methodology
Not enough data
9.1
77
Not enough data
9.5
86
Not enough data
9.3
82
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
Not enough data
9.1
25
Model Development
Not enough data
8.8
20
Not enough data
7.8
21
Not enough data
8.3
22
Not enough data
9.0
21
Model Development
Not enough data
9.0
21
Machine/Deep Learning Services
Not enough data
8.6
15
Not enough data
8.5
14
Not enough data
8.7
13
Not enough data
7.6
17
Machine/Deep Learning Services
Not enough data
8.6
17
Not enough data
9.1
18
Deployment
Not enough data
8.5
20
Not enough data
8.9
19
Not enough data
8.8
20
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
Not enough data
Not enough data
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
Database
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.6
7
Integrations
Not enough data
8.3
5
Not enough data
8.3
6
Platform
Not enough data
7.9
8
Not enough data
8.7
10
Not enough data
8.3
6
Processing
Not enough data
8.3
5
Not enough data
8.1
8
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
Categories
Categories
Shared Categories
BigML and Posit are categorized as Data Science and Machine Learning Platforms
Unique Categories
BigML is categorized as Predictive Analytics and Low-Code Machine Learning Platforms
Posit is categorized as Statistical Analysis and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
BigML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Posit
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
19.2%
Information Technology and Services
12.5%
Research
11.1%
Computer Software
8.6%
Education Management
5.6%
Other
43.0%
Discussions
BigML has no discussions with answers
Can we save our process if we don't save a project?
2 Comments
SL
There are many ways to save results as an R script runs, take a look at the R saveRDS function as one example.
For questions like this about R a great...Read more
What is the best way to run R code within a VBA routine?
1 Comment
PB
I ran into same kind of problems. Then I discovered PowerBI.
With PowerBI, and the help of PowerQuery, I'm getting rid of all VbA engines to process...Read more
Which software is used for R programming?
1 Comment
SH
RStudio is the most popular IDE for running R programs and has a free license. The official R software environment is an open-source free software...Read more
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