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Compare Edge Impulse and Vertex AI 
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At a Glance
Market Segments
Small-Business (63.6% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
Edge Impulse
Star Rating
(11)4.5 out of 5
Market Segments
Small-Business (63.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Edge ImpulseVertex 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 Vertex AI excels in AI High Availability with a score of 9.2, which reviewers mention ensures consistent performance and reliability for critical applications. In contrast, Edge Impulse, while strong, has a slightly lower score in this area, indicating it may not be as robust for high-demand scenarios.
- Reviewers mention that Edge Impulse shines in Ease of Deployment, scoring 9.8, which users say makes it particularly user-friendly for quick implementation. Vertex AI, with a score of 8.5, is still effective but may require more setup time, which could be a consideration for teams looking for rapid deployment.
- G2 users highlight that Edge Impulse offers superior Monitoring capabilities, scoring 7.2 compared to Vertex AI's 8.6. Users report that the monitoring tools in Vertex AI provide more comprehensive insights, making it easier to track model performance over time.
- Users on G2 mention that Vertex AI's Model Training capabilities are highly rated at 8.5, with reviewers noting the flexibility and scalability of its training processes. Edge Impulse matches this score but lacks some of the advanced features that Vertex AI offers, which could be a deciding factor for users needing extensive model training options.
- Reviewers say that Vertex AI's AI Data Encryption features are rated at 9.2, providing a strong sense of security for sensitive data. In comparison, Edge Impulse's score of 8.5 indicates it has solid security measures, but users report that Vertex AI's offerings are more comprehensive and reassuring.
- Users report that Edge Impulse has a more favorable G2 rating of 4.5 compared to Vertex AI's 4.3, suggesting that overall user satisfaction is slightly higher. However, reviewers mention that Vertex AI's product direction and support quality are rated positively, indicating a commitment to continuous improvement and customer service.
Pricing
Entry-Level Pricing
Edge Impulse
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
Edge Impulse
No trial information availableVertex AI
Free Trial is available
Ratings
Meets Requirements
9.0
7
8.6
359
Ease of Use
8.8
7
8.2
368
Ease of Setup
Not enough data
8.1
291
Ease of Admin
Not enough data
7.9
141
Quality of Support
8.9
6
8.1
335
Has the product been a good partner in doing business?
Not enough data
8.2
135
Product Direction (% positive)
10.0
7
9.2
353
Features by Category
Deployment
8.6
6
8.3
73
8.1
6
8.1
74
8.9
6
8.3
74
8.9
6
8.3
70
8.1
6
8.8
70
Deployment
7.9
7
8.4
73
8.3
7
8.3
72
8.8
7
8.4
71
9.8
7
8.5
71
8.3
6
8.7
69
Management
7.5
6
8.3
70
7.2
6
8.5
69
9.4
6
8.0
69
8.3
6
8.1
69
Operations
8.3
7
8.2
69
8.1
7
8.4
70
7.1
7
8.3
70
Management
7.2
6
8.1
68
7.9
7
8.4
69
8.9
6
8.3
68
Generative AI
Not enough data
8.2
34
Not enough data
8.4
34
System
Not enough data
8.2
170
Model Development
Not enough data
8.4
202
Not enough data
7.9
179
Not enough data
8.4
200
Not enough data
8.5
202
Model Development
Not enough data
8.2
165
Machine/Deep Learning Services
Not enough data
8.2
200
Not enough data
8.4
196
Not enough data
8.2
195
Not enough data
8.2
178
Machine/Deep Learning Services
Not enough data
8.5
165
Not enough data
8.4
163
Deployment
Not enough data
8.2
193
Not enough data
8.3
194
Not enough data
8.5
193
Generative AI
Not enough data
8.3
102
Not enough data
8.2
102
Not enough data
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
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
Development and Deployment - Edge AI Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management - Edge AI Platforms
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
Categories
Categories
Shared Categories
Edge Impulse and Vertex AI are categorized as MLOps Platforms and Data Science and Machine Learning Platforms
Unique Categories
Edge Impulse is categorized as Edge AI Platforms
Vertex AI is categorized as Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, Machine Learning, AI Agent Builders, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Edge Impulse
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
Information Technology and Services
36.4%
Research
18.2%
Computer Software
18.2%
Automotive
18.2%
Marketing and Advertising
9.1%
Other
0.0%
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
Edge Impulse has no discussions with answers
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