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Compare Altair AI Studio and V7 Darwin 
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At a Glance
Market Segments
Small-Business (42.3% of reviews)
Small-Business (55.8% of reviews)
Entry-Level Pricing
No pricing available
Free
Altair AI Studio
Star Rating
(509)4.6 out of 5
Market Segments
Small-Business (42.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Altair AI StudioV7 Darwin
Star Rating
(54)4.8 out of 5
Market Segments
Small-Business (55.8% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Altair AI Studio excels in its Data Preparation capabilities, particularly with its Drag and Drop feature, which simplifies the data wrangling process. In contrast, V7 users mention that while it offers similar functionality, the Data Ingestion & Wrangling tools are not as intuitive, making it slightly less user-friendly.
- Reviewers mention that V7 shines in Model Training with its extensive library of Pre-Built Algorithms, achieving a perfect score of 10.0. On the other hand, Altair AI Studio's model training features, while robust, do not match this level of pre-built support, leading to a more manual approach that some users find cumbersome.
- G2 users highlight that V7's Quality of Support is exceptional, with a score of 9.6, often citing quick response times and helpful resources. In comparison, Altair AI Studio's support, rated at 8.5, is seen as adequate but lacking the same level of responsiveness and depth in documentation.
- Users on G2 report that Altair AI Studio offers superior Scalability with a score of 9.8, making it a preferred choice for businesses anticipating growth. V7, while also scalable, received a perfect score in managed services, indicating a strong focus on enterprise-level deployment, which some small businesses may find overwhelming.
- Reviewers mention that V7's Collaboration Features are top-notch, achieving a perfect score of 10.0, which facilitates teamwork and project management effectively. In contrast, Altair AI Studio's collaboration tools, while functional, do not provide the same level of integration and ease of use, leading to potential bottlenecks in team workflows.
- Users say that Altair AI Studio's Ease of Setup is commendable, scoring 9.1, which is beneficial for small businesses looking for quick deployment. However, V7's setup process, rated at 9.7, is often described as even more streamlined, allowing users to get started with minimal friction.
Pricing
Entry-Level Pricing
Altair AI Studio
No pricing availableV7 Darwin
Free Plan
Free
Try out the core functionalities and set up your workflow for free.
- 1 Workspace
- 10 User Licenses
- 3 Integrated Models
Free Trial
Altair AI Studio
Free Trial is available
V7 Darwin
Free Trial is available
Ratings
Meets Requirements
8.6
422
9.5
38
Ease of Use
8.8
421
9.5
38
Ease of Setup
9.0
124
9.5
17
Ease of Admin
8.4
104
9.4
15
Quality of Support
8.5
351
9.6
36
Has the product been a good partner in doing business?
8.9
93
9.9
14
Product Direction (% positive)
8.8
408
9.6
32
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
Deployment
Not enough data
Not enough data
Not enough data
9.4
6
Not enough data
9.7
5
Not enough data
9.0
7
Not enough data
9.8
7
Deployment
Not enough data
Not enough data
Not enough data
9.3
5
Not enough data
9.7
6
Not enough data
9.2
6
Not enough data
9.8
7
Management
Not enough data
9.3
5
Not enough data
10.0
6
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
9.7
6
Not enough data
Not enough data
Not enough data
10.0
6
Management
Not enough data
10.0
5
Not enough data
9.7
5
Not enough data
9.3
5
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
8.5
52
Not enough data
Model Development
7.7
33
Not enough data
9.1
57
Not enough data
8.5
54
Not enough data
8.4
52
Not enough data
Model Development
8.4
47
Not enough data
Machine/Deep Learning Services
7.7
30
Not enough data
7.9
35
Not enough data
7.5
23
Not enough data
8.4
39
Not enough data
Machine/Deep Learning Services
7.6
32
Not enough data
8.3
35
Not enough data
Deployment
8.0
38
Not enough data
8.3
37
Not enough data
8.5
34
Not enough data
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
Quality
Not enough data
9.4
21
Not enough data
9.5
24
Not enough data
9.4
21
Not enough data
9.3
22
Automation
Not enough data
9.4
16
Not enough data
9.4
14
Image Annotation
Not enough data
9.3
27
Not enough data
9.4
24
Not enough data
9.1
17
Not enough data
9.2
18
Natural Language Annotation
Not enough data
9.1
13
Not enough data
8.5
9
Not enough data
9.0
10
Speech Annotation
Not enough data
7.7
8
Not enough data
7.5
8
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
283
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
Categories
Categories
Shared Categories
Altair AI Studio and V7 Darwin share no categories
Unique Categories
Altair AI Studio is categorized as Text Analysis, Data Science and Machine Learning Platforms, Analytics Platforms, Predictive Analytics, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
V7 Darwin is categorized as Data Labeling and MLOps Platforms
Reviews
Reviewers' Company Size
Altair AI Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
V7 Darwin
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
15.4%
Information Technology and Services
9.1%
Research
6.8%
Computer Software
6.8%
Other
43.6%
Information Technology and Services
25.0%
Computer Software
19.2%
Research
7.7%
Hospital & Health Care
5.8%
Industrial Automation
3.8%
Other
38.5%
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
NJ
Hello Daniel,
Yes, you are right setting each one of 8 as a function of those 12 and using simple regression does solve it. I tried previously in the same...Read more
How do I deploy a process successfully designed in Rapidminer in the field?
1 Comment
II
first determine the data object that will be processed in rapidminer, the data used is not structured, and not derived from the questionnaire...Read more
What is the best tool for predictive analytics for Manufacturing Industries?
1 Comment
FZ
RapidMiner has an initial workflow for predictive maintenance.
You could start experimenting fast and then fine-tune the model.Read more
V7 Darwin has no discussions with answers
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