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At a Glance
Market Segments
Small-Business (42.3% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
Altair AI Studio
Star Rating
(508)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 StudioVertex AI
Star Rating
(592)4.3 out of 5
Market Segments
Small-Business (41.0% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Learn more about Vertex AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Altair AI Studio excels in its drag-and-drop interface, scoring 9.2, which makes it highly user-friendly for those without extensive coding experience. In contrast, Vertex AI's drag-and-drop feature received a lower score of 8.1, indicating that users find it less intuitive.
- Reviewers mention that Altair AI Studio offers superior AI high availability with a score of 9.2, which is crucial for businesses that require consistent uptime. Vertex AI, while still strong, scored 8.2 in this area, suggesting it may not be as reliable for mission-critical applications.
- G2 users highlight that Altair AI Studio's data ingestion and wrangling capabilities scored 8.6, making it easier to prepare data for analysis. Vertex AI, with a score of 8.3, is still effective but may require more effort from users to achieve similar results.
- Users on G2 report that Altair AI Studio's model training capabilities are robust, scoring 8.4, which allows for efficient development of machine learning models. Vertex AI, however, scored slightly higher at 8.5, indicating it may offer more advanced features for model training.
- Reviewers mention that Altair AI Studio's AI text generation feature scored 8.4, providing users with effective tools for content creation. In comparison, Vertex AI's text generation scored lower at 7.3, suggesting it may not meet the same level of user expectations for generating high-quality text.
- Users say that Altair AI Studio's quality of support is rated at 8.5, indicating a strong customer service experience. Vertex AI, with a score of 8.2, still offers good support but may not be as responsive or helpful as Altair AI Studio according to user feedback.
Pricing
Entry-Level Pricing
Altair AI Studio
No pricing availableVertex AI
Try Vertex AI Free
Pay As You Go
Per Month
New customers get $300 in free credits to spend on Vertex AI.
- A unified UI for the entire ML workflow
- Pre-trained APIs for vision, video, natural language, and more
- End-to-end integration for data and AI
Free Trial
Altair AI Studio
Free Trial is available
Vertex AI
Free Trial is available
Ratings
Meets Requirements
8.6
422
8.6
359
Ease of Use
8.8
421
8.2
368
Ease of Setup
9.0
124
8.1
291
Ease of Admin
8.4
104
7.9
141
Quality of Support
8.5
351
8.1
335
Has the product been a good partner in doing business?
8.9
93
8.2
135
Product Direction (% positive)
8.8
408
9.2
353
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
8.3
73
Not enough data
8.1
74
Not enough data
8.3
74
Not enough data
8.3
70
Not enough data
8.8
70
Deployment
Not enough data
8.4
73
Not enough data
8.3
72
Not enough data
8.4
71
Not enough data
8.5
71
Not enough data
8.7
69
Management
Not enough data
8.3
70
Not enough data
8.5
69
Not enough data
8.0
69
Not enough data
8.1
69
Operations
Not enough data
8.2
69
Not enough data
8.4
70
Not enough data
8.3
70
Management
Not enough data
8.1
68
Not enough data
8.4
69
Not enough data
8.3
68
Generative AI
Not enough data
8.2
34
Not enough data
8.4
34
System
8.5
52
8.2
170
Model Development
7.7
33
8.4
202
9.1
57
7.9
179
8.5
54
8.4
200
8.4
52
8.5
202
Model Development
8.4
47
8.2
165
Machine/Deep Learning Services
7.7
30
8.2
200
7.9
35
8.4
196
7.5
23
8.2
195
8.4
39
8.2
178
Machine/Deep Learning Services
7.6
32
8.5
165
8.3
35
8.4
163
Deployment
8.0
38
8.2
193
8.3
37
8.3
194
8.5
34
8.5
193
Generative AI
6.7
6
8.3
102
6.7
6
8.2
102
6.4
6
8.1
103
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.1
34
Not enough data
7.8
34
Not enough data
7.7
34
Not enough data
7.8
34
Not enough data
8.4
34
Not enough data
7.8
34
Not enough data
7.9
34
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
8.9
28
Not enough data
8.6
28
Not enough data
8.5
28
Cost and Efficiency - Generative AI Infrastructure
Not enough data
8.2
28
Not enough data
7.8
28
Not enough data
7.9
28
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.4
28
Not enough data
8.1
28
Not enough data
8.3
28
Security and Compliance - Generative AI Infrastructure
Not enough data
8.6
28
Not enough data
8.5
28
Not enough data
8.9
28
Usability and Support - Generative AI Infrastructure
Not enough data
8.2
28
Not enough data
8.3
28
Integration - Machine Learning
Not enough data
8.5
67
Learning - Machine Learning
Not enough data
8.5
66
Not enough data
8.3
65
Not enough data
8.8
66
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
8.9
23
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Not enough data
8.9
22
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
22
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
8.7
21
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
21
Not enough data
8.8
21
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
21
Not enough data
9.0
21
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
8.9
22
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
22
Customization - AI Agent Builders
Not enough data
8.5
27
Not enough data
7.6
27
Not enough data
8.3
26
Functionality - AI Agent Builders
Not enough data
8.1
27
Not enough data
7.3
27
Not enough data
8.2
26
Not enough data
7.2
27
Data and Analytics - AI Agent Builders
Not enough data
7.7
25
Not enough data
7.9
27
Not enough data
8.0
27
Integration - AI Agent Builders
Not enough data
8.7
27
Not enough data
8.0
27
Not enough data
8.0
27
Not enough data
7.5
27
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 Vertex AI are categorized as Data Science and Machine Learning Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Unique Categories
Vertex AI is categorized as Large Language Model Operationalization (LLMOps), MLOps Platforms, Machine Learning, and AI Agent Builders
Reviews
Reviewers' Company Size
Altair AI Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Vertex AI
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%
Computer Software
17.5%
Information Technology and Services
13.9%
Financial Services
7.0%
Retail
3.8%
Hospital & Health Care
3.4%
Other
54.4%
Alternatives
Discussions
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NJ
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