Compare Altair AI Studio and Posit
At a Glance
Market Segments
Small-Business (42.4% of reviews)
Enterprise (48.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Altair AI Studio
Star Rating
(516)4.6 out of 5
Market Segments
Small-Business (42.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Altair AI Studio
Posit
Star Rating
(570)4.5 out of 5
Market Segments
Enterprise (48.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Posit
Altair AI Studio vs Posit
When assessing the two solutions, reviewers found Altair AI Studio easier to use, set up, and administer. Reviewers also preferred doing business with Altair AI Studio overall.
- Reviewers felt that Posit meets the needs of their business better than Altair AI Studio.
- When comparing quality of ongoing product support, reviewers felt that Altair AI Studio is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Altair AI Studio over Posit.
Pricing
Entry-Level Pricing
Altair AI Studio
No pricing availablePosit
No pricing availableFree Trial
Altair AI Studio
Free Trial is available
Posit
Free Trial is available
Ratings
Meets Requirements
8.6
426
9.1
501
Ease of Use
8.8
425
8.4
501
Ease of Setup
9.0
128
8.8
111
Ease of Admin
8.4
104
8.3
92
Quality of Support
8.5
354
8.1
407
Has the product been a good partner in doing business?
8.9
93
8.6
83
Product Direction (% positive)
8.8
412
8.5
493
Features by Category
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
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
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
Agentic AI - Analytics 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
Self Service
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
Deployment & Integration - Analytics 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
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics 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
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Administration
Not enough data
8.7
77
Not enough data
9.2
82
Not enough data
8.3
79
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
8.5
52
9.1
25
Model Development
7.5
35
8.8
20
9.1
58
7.8
21
8.5
54
8.3
22
8.4
52
9.0
21
Model Development
8.4
47
9.0
21
Machine/Deep Learning Services
7.7
30
8.6
15
7.9
35
8.5
14
7.5
23
8.7
13
8.4
39
7.6
17
Machine/Deep Learning Services
7.6
32
8.6
17
8.3
35
9.1
18
Deployment
8.0
38
8.5
20
8.3
37
8.9
19
8.5
34
8.8
20
Generative AI
6.7
6
Not enough data
6.7
6
Not enough data
6.4
6
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
Setup
8.0
5
Not enough data
7.7
5
Not enough data
8.3
5
Not enough data
Data
8.0
5
Not enough data
8.3
5
Not enough data
Analysis
8.3
5
Not enough data
7.3
5
Not enough data
7.3
5
Not enough data
7.0
5
Not enough data
7.0
5
Not enough data
7.0
5
Not enough data
6.0
5
Not enough data
Customization
8.3
5
Not enough data
8.7
5
Not enough data
8.0
5
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
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
7.9
176
Not enough data
8.9
249
Not enough data
8.6
266
Not enough data
Data Analysis
8.8
284
Not enough data
8.6
269
Not enough data
Decision Making
8.9
275
Not enough data
8.0
251
Not enough data
7.9
254
Not enough data
8.2
226
Not enough data
Generative AI
7.2
6
Not enough data
6.9
6
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
Altair AI Studio and Posit are categorized as Data Science and Machine Learning Platforms
Unique Categories
Altair AI Studio is categorized as Text Analysis, Analytics Platforms, Predictive Analytics, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Posit is categorized as Statistical Analysis and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Altair AI Studio
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
Higher Education
18.3%
Education Management
15.2%
Information Technology and Services
9.1%
Research
7.0%
Computer Software
6.8%
Other
43.6%
Higher Education
19.3%
Information Technology and Services
12.5%
Research
11.1%
Computer Software
8.6%
Education Management
5.5%
Other
42.9%
Alternatives
Discussions
How to predict 8 test values using 12 other test values. 500 data points available for each tests. Also what should I do to find a relation between parameters.
3 Comments
DS
if I understand you well, you want to predict 8 variables using a set of 12 columns. This sounds like a simple regression. Basically build 8 regression...Read more
What is RapidMiner used for?
1 Comment
MR
RapidMiner is majorly used for data preparation, machine learning, and predictive analysis of development. It includes the interactive data preparation,...Read more
before using they should have knowledge of data science and machine learning with R/python experience
1 Comment
DR
It will help to learn rapidminer easily and fastlyRead more
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
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
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
