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Compare BigML and Posit 
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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
(562)4.5 out of 5
Market Segments
Enterprise (48.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about PositSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Posit excels in data ingestion and wrangling with a score of 9.1, making it a strong choice for those needing robust data preparation capabilities. In contrast, BigML also performs well in this area but has a slightly lower score, indicating that while it is effective, it may not be as comprehensive as Posit.
- Reviewers mention that BigML shines in the quality of support, achieving a score of 9.5, which is significantly higher than Posit's score of 8.1. This suggests that users may find more responsive and helpful customer service with BigML, which can be crucial for businesses relying on timely assistance.
- G2 users highlight that Posit has a strong performance in data visualization, scoring 8.9, which is on par with BigML's score of 8.8. However, users on G2 note that Posit's visualization tools are more intuitive, making it easier for users to create insightful reports and dashboards.
- Users say that BigML's machine learning services, particularly in deep learning, are superior with a score of 9.0, compared to Posit's lower score of 7.6. This indicates that organizations focused on advanced machine learning applications may prefer BigML for its more robust capabilities in this area.
- Reviewers mention that Posit offers better collaboration features, scoring 8.1, which is essential for teams working together on data projects. In contrast, BigML's collaboration tools are rated lower, suggesting that users may find it less effective for team-based workflows.
- Users report that both platforms have similar scalability scores of 8.6, indicating that they can handle growing data needs effectively. However, reviewers mention that Posit may have a slight edge in managed services, which can be beneficial for enterprises looking for comprehensive support as they scale.
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
496
Ease of Use
9.0
24
8.3
496
Ease of Setup
9.2
22
8.8
106
Ease of Admin
9.3
22
8.3
90
Quality of Support
9.5
22
8.1
403
Has the product been a good partner in doing business?
9.1
22
8.5
81
Product Direction (% positive)
9.5
24
8.5
488
Features by Category
Administration
Not enough data
8.7
76
Not enough data
9.2
82
Not enough data
8.2
76
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
85
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
19
Not enough data
7.8
21
Not enough data
8.3
21
Not enough data
9.0
21
Model Development
Not enough data
9.0
20
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
8.4
19
Not enough data
8.9
18
Not enough data
8.7
19
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
19.1%
Information Technology and Services
12.6%
Research
11.2%
Computer Software
8.7%
Education Management
5.6%
Other
42.8%
Alternatives
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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