Compare Microsoft Copilot Studio and Vertex AI 
At a Glance
Market Segments
Small-Business (41.5% of reviews)
Small-Business (42.0% of reviews)
Entry-Level Pricing
$1.00 2000 Sessions Month
Pay As You Go Per Month
Microsoft Copilot Studio
Star Rating
(144)4.4 out of 5
Market Segments
Small-Business (41.5% of reviews)
Pros & Cons
Entry-Level Pricing
$1.00 2000 Sessions Month
Learn more about Microsoft Copilot StudioVertex 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 those focused on machine learning.
- Users say Microsoft Copilot Studio shines in its integration capabilities, particularly with enterprise knowledge sources and Microsoft Graph data. Recent feedback noted that the tool allows for seamless actions through Power Automate, which enhances its utility in business environments.
- Reviewers mention that Vertex AI has a slight edge in meeting specific workflow needs, with a higher satisfaction score in this area. Users have expressed that it effectively reduces the effort required to build and deploy models, making it a preferred option for those heavily invested in machine learning.
- According to verified reviews, Microsoft Copilot Studio is praised for its user-friendly interface and configuration options. Users have described it as an "extremely brilliant agentic AI tool," which makes it easy to modify LLM models to meet client needs, showcasing its adaptability.
- G2 reviewers highlight that while both platforms offer solid support, Vertex AI has received slightly higher ratings for quality of support. Users appreciate the assistance provided, which is crucial for navigating the complexities of machine learning projects.
- Users report that Microsoft Copilot Studio offers detailed responses and more options for queries, which can enhance user experience in day-to-day tasks. This feature is particularly beneficial for teams looking for comprehensive answers and flexibility in their interactions with the AI.
Pricing
Entry-Level Pricing
Microsoft Copilot Studio
Power Virtual Agents
$1.00
2000 Sessions Month
NA
- Create and maintain intelligent chatbots - 1,000 bots Sessions - 2,000 per month3 Use Common Data Service} - 10 GB database capacity } 420 GB file capacity4 Enable your bot to take action - Power Automate use rights5 Sessions add-on - Sessions add-on$450
Vertex 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
Microsoft Copilot Studio
No trial information availableVertex AI
No trial information availableRatings
Meets Requirements
8.2
126
8.6
389
Ease of Use
8.7
130
8.2
400
Ease of Setup
8.6
109
8.1
322
Ease of Admin
8.6
36
7.9
149
Quality of Support
8.2
120
8.1
364
Has the product been a good partner in doing business?
8.5
36
8.3
143
Product Direction (% positive)
9.2
124
9.2
383
Features by Category
Deployment
Not enough data
8.4
76
Not enough data
8.1
78
Not enough data
8.3
76
Not enough data
8.4
76
Not enough data
8.8
75
Deployment
Not enough data
8.5
75
Not enough data
8.3
73
Not enough data
8.4
72
Not enough data
8.6
74
Not enough data
8.7
71
Management
Not enough data
8.2
71
Not enough data
8.5
73
Not enough data
8.0
71
Not enough data
8.1
70
Operations
Not enough data
8.2
70
Not enough data
8.5
71
Not enough data
8.3
71
Management
Not enough data
8.1
69
Not enough data
8.4
72
Not enough data
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
Generative AI
8.1
36
Not enough data
8.5
36
Not enough data
Agentic AI - Bot Platforms
8.0
27
Not enough data
7.7
27
Not enough data
7.7
27
Not enough data
7.8
27
Not enough data
7.9
26
Not enough data
7.6
26
Not enough data
7.3
26
Not enough data
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
8.2
63
8.6
28
7.6
61
7.6
27
8.0
64
8.3
26
Functionality - AI Agent Builders
7.8
56
8.1
27
7.8
56
7.3
27
7.9
55
8.2
26
8.1
55
7.2
27
Data and Analytics - AI Agent Builders
7.8
54
7.8
26
7.7
56
7.9
27
8.2
56
8.1
28
Integration - AI Agent Builders
8.4
65
8.8
28
8.1
55
8.2
30
8.0
63
8.1
28
7.9
54
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
Natural Language Interaction - Conversational Interface Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Intent & Action Handling - Conversational Interface Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Context & Personalization - Conversational Interface Agents
Not enough data
Not enough data
Not enough data
Not enough data
Enterprise Integration & Deployment - Conversational Interface Agents
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AI Agents
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
Microsoft Copilot Studio and Vertex AI are categorized as AI Agent Builders
Unique Categories
Microsoft Copilot Studio is categorized as Bot Platforms and Conversational Interface Agents
Reviews
Reviewers' Company Size
Microsoft Copilot 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
Information Technology and Services
21.5%
Computer Software
11.9%
Financial Services
5.2%
Automotive
4.4%
Computer & Network Security
4.4%
Other
52.6%
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
How soon will this bot be able to answer customer questions flawlessly?
1 Comment
RJ
It depends on the question being asked.For example, if we ask the hi/hello the response will be faster.If the api are used then based on the time it takes to...Read more
What can power virtual agents do?
1 Comment
AD
Power Virtual Agent is a no-code chatbot deployment software that helps you set up a chatbot on your website with the predefined topics that you configure in...Read more
Microsoft Copilot Studio has no more discussions with answers
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What software libraries does cloud ML engine support?
3 Comments
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Cloud ML Engine (now part of Vertex AI) supports popular ML frameworks and libraries such as TensorFlow, PyTorch, Scikit‑learn, and XGBoost. This flexibility...Read more
What is Google AI platform?
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The Google AI Platform is a comprehensive set of tools and services provided by Google Cloud to develop, deploy, and manage artificial intelligence. It...Read more
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