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At a Glance
Market Segments
Small-Business (36.5% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
ServiceNow AI Agents
Star Rating
(69)4.3 out of 5
Market Segments
Small-Business (36.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about ServiceNow AI AgentsVertex 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 offers a flexible "Pay As You Go" pricing model, which is particularly appealing for small businesses looking to manage costs effectively, while ServiceNow AI Agents does not disclose a specific entry-level price, making it less transparent for potential buyers.
- Reviewers mention that Vertex AI has a strong focus on small-business needs, with 38.8% of reviews coming from this segment, whereas ServiceNow AI Agents is primarily favored by enterprise users, accounting for 58.3% of reviews, indicating a more tailored approach for larger organizations.
- Users on G2 highlight that Vertex AI scores an 8.6 in meeting requirements, showcasing its ability to fulfill user needs effectively, while ServiceNow AI Agents lacks a specific score in this area, which may raise questions about its adaptability to diverse business requirements.
- Reviewers say that both products have an ease of setup score of 8.2, indicating that users find them equally straightforward to implement, but Vertex AI's overall user experience is slightly lower at 8.3 compared to ServiceNow AI Agents' 8.8, suggesting that ServiceNow may offer a more intuitive interface.
- G2 users report that Vertex AI has a quality of support score of 8.2, which is commendable, but ServiceNow AI Agents does not provide a specific score, leaving potential users uncertain about the level of support they can expect.
- Users mention that Vertex AI has a strong product direction score of 9.2, indicating a positive outlook on future developments, while ServiceNow AI Agents does not have a comparable score, which could suggest less clarity on its roadmap and future enhancements.
Pricing
Entry-Level Pricing
ServiceNow AI Agents
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
ServiceNow AI Agents
No trial information availableVertex AI
Free Trial is available
Ratings
Meets Requirements
7.8
41
8.6
359
Ease of Use
8.3
62
8.2
368
Ease of Setup
8.0
61
8.1
291
Ease of Admin
8.6
17
7.9
141
Quality of Support
8.2
39
8.1
335
Has the product been a good partner in doing business?
8.7
18
8.2
135
Product Direction (% positive)
9.4
39
9.2
353
Features by Category
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
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
Responses
7.7
8
Not enough data
7.9
8
Not enough data
8.3
8
Not enough data
Automation - AI Agents
8.6
7
Not enough data
7.5
8
Not enough data
7.5
8
Not enough data
8.1
8
Not enough data
8.1
8
Not enough data
Platform
7.9
8
Not enough data
8.5
8
Not enough data
8.3
8
Not enough data
Autonomy - AI Agents
8.5
8
Not enough data
7.5
8
Not enough data
8.3
8
Not enough data
8.5
8
Not enough data
Generative AI
8.3
8
Not enough data
9.0
8
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
7.5
19
8.5
27
7.4
17
7.6
27
7.6
16
8.3
26
Functionality - AI Agent Builders
7.5
18
8.1
27
7.9
16
7.3
27
8.1
17
8.2
26
8.1
16
7.2
27
Data and Analytics - AI Agent Builders
7.3
16
7.7
25
7.5
17
7.9
27
8.1
17
8.0
27
Integration - AI Agent Builders
8.2
19
8.7
27
7.9
16
8.0
27
8.6
17
8.0
27
8.0
17
7.5
27
Automation - AI IT Agents
8.2
16
Not enough data
8.8
16
Not enough data
Autonomy - AI IT Agents
8.0
15
Not enough data
8.3
16
Not enough data
8.4
16
Not enough data
8.4
16
Not enough data
IT Ticket Management - AI IT Agents
9.1
16
Not enough data
8.8
16
Not enough data
8.6
16
Not enough data
8.9
16
Not enough data
8.6
16
Not enough data
IT Support Automation - AI IT Agents
9.0
16
Not enough data
8.9
16
Not enough data
8.4
16
Not enough data
8.9
16
Not enough data
9.0
15
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
Customer Query Resolution - AI Customer Support Agents
7.5
12
Not enough data
8.3
12
Not enough data
7.6
11
Not enough data
7.9
11
Not enough data
7.6
11
Not enough data
Customer Interaction Automation - AI Customer Support Agents
8.0
11
Not enough data
7.4
11
Not enough data
8.0
11
Not enough data
8.3
11
Not enough data
Automation
8.3
12
Not enough data
8.5
12
Not enough data
8.3
12
Not enough data
Autonomy
7.6
12
Not enough data
7.9
12
Not enough data
8.6
12
Not enough data
7.8
12
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
ServiceNow AI Agents and Vertex AI are categorized as AI Agent Builders
Unique Categories
ServiceNow AI Agents is categorized as AI IT Agents, AI Customer Support Agents, and AI Agents For Business Operations
Reviews
Reviewers' Company Size
ServiceNow AI Agents
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
20.6%
Computer Software
17.5%
Computer & Network Security
11.1%
Telecommunications
7.9%
Consulting
6.3%
Other
36.5%
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
ServiceNow AI Agents has no discussions with answers
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KS
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What software libraries does cloud ML engine support?
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JP
It's supporting approx all trending libraries.Read more
What is Google AI platform?
1 Comment
ZM
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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