Compare Edge Impulse and Vertex AI 
At a Glance
Market Segments
Small-Business (63.6% of reviews)
Small-Business (42.0% 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
(652)4.3 out of 5
Market Segments
Small-Business (42.0% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Learn more about Vertex AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Vertex AI excels in managing complex machine learning workflows, with users appreciating its ability to centralize the entire ML lifecycle. One user highlighted how it simplifies everything from data preparation to deployment, making it a robust choice for organizations looking to streamline their processes.
- Users say that Edge Impulse stands out for its user-friendly graphical interface, which makes machine learning accessible for edge devices like Raspberry Pi and mobile phones. This ease of use is particularly beneficial for those new to machine learning, although some users feel the platform could be simplified further for everyday applications.
- Reviewers mention that Vertex AI's seamless integration with Google Cloud enhances its functionality, allowing for efficient management of ML models. This integration is a significant advantage for teams already invested in the Google ecosystem, as it reduces the friction often associated with multi-platform workflows.
- According to verified reviews, Edge Impulse provides excellent data augmentation and preprocessing tools, which are crucial for improving model performance, especially when working with limited datasets. Users appreciate these features, as they contribute to better training outcomes and overall model quality.
- G2 reviewers highlight that while Vertex AI has a higher overall satisfaction score, Edge Impulse boasts a slightly better rating for ease of use and support quality. Users of Edge Impulse have noted the platform's responsive support, which can be a deciding factor for teams needing quick assistance.
- Users report that Vertex AI's implementation process is generally quick and intuitive, with many praising its onboarding experience. In contrast, Edge Impulse, while easy to use, has received feedback suggesting that it could benefit from more diverse application options to cater to a broader range of user needs.
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
No trial information availableRatings
Meets Requirements
9.0
7
8.6
389
Ease of Use
8.8
7
8.2
400
Ease of Setup
Not enough data
8.1
322
Ease of Admin
Not enough data
7.9
149
Quality of Support
8.9
6
8.1
364
Has the product been a good partner in doing business?
Not enough data
8.3
143
Product Direction (% positive)
10.0
7
9.2
383
Features by Category
Deployment
8.6
6
8.4
76
8.1
6
8.1
78
8.9
6
8.3
76
8.9
6
8.4
76
8.1
6
8.8
75
Deployment
7.9
7
8.5
75
8.3
7
8.3
73
8.8
7
8.4
72
9.8
7
8.6
74
8.3
6
8.7
71
Management
7.5
6
8.2
71
7.2
6
8.5
73
9.4
6
8.0
71
8.3
6
8.1
70
Operations
8.3
7
8.2
70
8.1
7
8.5
71
7.1
7
8.3
71
Management
7.2
6
8.1
69
7.9
7
8.4
72
8.9
6
8.3
70
Generative AI
Not enough data
8.4
37
Not enough data
8.6
37
System
Not enough data
8.2
173
Model Development
Not enough data
8.5
208
Not enough data
7.9
181
Not enough data
8.4
206
Not enough data
8.5
209
Model Development
Not enough data
8.2
167
Machine/Deep Learning Services
Not enough data
8.3
203
Not enough data
8.5
202
Not enough data
8.2
200
Not enough data
8.3
181
Machine/Deep Learning Services
Not enough data
8.5
167
Not enough data
8.5
166
Deployment
Not enough data
8.3
213
Not enough data
8.3
203
Not enough data
8.6
207
Generative AI
Not enough data
8.3
110
Not enough data
8.3
106
Not enough data
8.1
105
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.1
38
Not enough data
7.8
37
Not enough data
7.7
38
Not enough data
7.9
35
Not enough data
8.5
37
Not enough data
7.5
36
Not enough data
7.7
36
Scalability and Performance - Generative AI Infrastructure
Not enough data
9.0
31
Not enough data
8.7
32
Not enough data
8.6
31
Cost and Efficiency - Generative AI Infrastructure
Not enough data
8.0
34
Not enough data
7.7
31
Not enough data
8.1
30
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.5
30
Not enough data
8.3
32
Not enough data
8.5
31
Security and Compliance - Generative AI Infrastructure
Not enough data
8.7
30
Not enough data
8.3
32
Not enough data
8.9
30
Usability and Support - Generative AI Infrastructure
Not enough data
8.2
31
Not enough data
8.5
31
Integration - Machine Learning
Not enough data
8.5
68
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
9.0
26
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
24
Not enough data
9.0
24
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.3
25
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
24
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
23
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
23
Not enough data
8.7
22
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
23
Not enough data
8.9
22
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
21
Not enough data
9.1
22
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
9.0
23
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
22
Customization - AI Agent Builders
Not enough data
8.6
28
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
7.8
26
Not enough data
7.9
27
Not enough data
8.1
28
Integration - AI Agent Builders
Not enough data
8.8
28
Not enough data
8.2
30
Not enough data
8.1
28
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
17.9%
Information Technology and Services
14.3%
Financial Services
6.8%
Retail
3.6%
Hospital & Health Care
3.3%
Other
54.1%
Alternatives
Discussions
Edge Impulse has no discussions with answers
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