Compare Vertex AI and Workato 
At a Glance
Market Segments
Small-Business (42.0% of reviews)
Mid-Market (44.6% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
Free 50000 Credits
Vertex 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 AIWorkato
Star Rating
(752)4.7 out of 5
Market Segments
Mid-Market (44.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free 50000 Credits
Free Trial is available
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Workato excels in user-friendliness, with its intuitive design making it accessible for both technical and non-technical users. The platform's "Recipe" approach allows users to visualize workflows clearly, simplifying the process of building complex automations.
- Users say that Vertex AI shines in managing the entire machine learning lifecycle, providing a centralized platform for data preparation, model training, and deployment. This integration reduces the complexity of ML workflows, making it easier for users to handle intricate tasks.
- Reviewers mention that Workato's extensive library of over 1,000 pre-built connectors enhances its usability, allowing for seamless integration with popular applications like Salesforce and Slack. This feature is particularly praised for streamlining workflow automation.
- According to verified reviews, Vertex AI's strong integration with Google Cloud is a significant advantage, as it simplifies the management of machine learning projects. Users appreciate how this integration facilitates a smoother experience when deploying and monitoring models.
- G2 reviewers highlight that Workato's high scores in support and ease of administration contribute to a positive user experience. Users frequently commend the platform for its responsive support team and straightforward administrative features, which help maintain efficient operations.
- Users express concerns about Vertex AI's learning curve, noting that while it offers powerful capabilities, some users find it less intuitive compared to Workato. This can lead to challenges for those who are new to machine learning or require a more guided approach to setup and usage.
Pricing
Entry-Level Pricing
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
Workato
Free
Free
50000 Credits
Best for getting started and building your first AI-powered workflows
- Enterprise MCP & AI agents
- Workflow orchestration
- API management
Free Trial
Vertex AI
No trial information availableWorkato
Free Trial is available
Ratings
Meets Requirements
8.6
389
9.0
601
Ease of Use
8.2
400
9.0
611
Ease of Setup
8.1
322
8.9
482
Ease of Admin
7.9
149
9.0
372
Quality of Support
8.1
364
9.2
587
Has the product been a good partner in doing business?
8.3
143
9.4
369
Product Direction (% positive)
9.2
383
9.5
586
Features by Category
Management
Not enough data
7.8
116
Not enough data
8.3
123
Functionality
Not enough data
8.8
130
Not enough data
8.7
133
Not enough data
8.9
130
Not enough data
9.2
142
Not enough data
9.0
131
Deployment
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
Not enough data
Deployment
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
Not enough data
Management
8.2
71
Not enough data
8.5
73
Not enough data
8.0
71
Not enough data
8.1
70
Not enough data
Operations
8.2
70
Not enough data
8.5
71
Not enough data
8.3
71
Not enough data
Management
8.1
69
Not enough data
8.4
72
Not enough data
8.3
70
Not enough data
Generative AI
8.4
37
Not enough data
8.6
37
Not enough data
System
8.2
173
Not enough data
Model Development
8.5
208
Not enough data
7.9
181
Not enough data
8.4
206
Not enough data
8.5
209
Not enough data
Model Development
8.2
167
Not enough data
Machine/Deep Learning Services
8.3
203
Not enough data
8.5
202
Not enough data
8.2
200
Not enough data
8.3
181
Not enough data
Machine/Deep Learning Services
8.5
167
Not enough data
8.5
166
Not enough data
Deployment
8.3
213
Not enough data
8.3
203
Not enough data
8.6
207
Not enough data
Generative AI
8.3
110
Not enough data
8.3
106
Not enough data
8.1
105
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Not enough data
Management
Not enough data
8.1
24
Not enough data
8.8
24
Not enough data
9.0
24
Not enough data
8.7
25
Solution Provision
Not enough data
8.3
25
Not enough data
7.5
25
Not enough data
8.3
23
Development
Not enough data
9.4
32
Not enough data
9.3
31
Not enough data
9.7
32
Not enough data
9.4
31
Collaboration
Not enough data
8.9
30
Not enough data
8.9
31
Not enough data
9.3
30
Development
Not enough data
9.1
275
Not enough data
8.4
176
|
Verified
Not enough data
9.0
205
|
Verified
Not enough data
8.8
217
|
Verified
Not enough data
8.5
196
|
Verified
Not enough data
9.1
192
Not enough data
8.6
165
Management
Not enough data
8.7
195
|
Verified
Not enough data
8.8
187
|
Verified
Not enough data
8.9
195
|
Verified
Not enough data
8.7
191
|
Verified
Not enough data
8.8
166
Security
Not enough data
8.8
171
|
Verified
Not enough data
8.9
178
|
Verified
Not enough data
9.0
174
|
Verified
Integration Options
Not enough data
8.7
165
|
Verified
Not enough data
8.6
165
|
Verified
Not enough data
8.1
159
|
Verified
Not enough data
7.9
144
|
Verified
Deployment
Not enough data
8.7
160
Not enough data
9.0
170
Conversational Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support Automation
Not enough data
Not enough data
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
Data
Not enough data
9.2
107
Development
Not enough data
9.1
114
Not enough data
8.9
109
Security
Not enough data
9.1
108
Not enough data
8.9
105
Management
Not enough data
9.0
104
Not enough data
8.6
95
Not enough data
9.2
104
Not enough data
9.1
90
Not enough data
8.8
93
Not enough data
8.9
93
Application Integration
Not enough data
9.0
89
Not enough data
9.2
92
Not enough data
9.5
92
Not enough data
9.2
91
Data Management
Not enough data
9.3
12
Not enough data
8.8
12
Not enough data
9.2
12
Not enough data
9.3
12
Not enough data
8.2
11
Functionality
Not enough data
9.1
11
Not enough data
9.9
13
Not enough data
9.7
13
Not enough data
9.6
12
Not enough data
9.3
12
Not enough data
9.2
11
Not enough data
8.8
11
Security
Not enough data
9.1
11
Not enough data
9.2
11
Generative AI
Not enough data
8.2
11
Functionality
Not enough data
8.7
13
Not enough data
9.2
13
Not enough data
9.1
13
Governance
Not enough data
9.0
13
Not enough data
9.1
13
Not enough data
9.1
13
Scalability and Performance - Generative AI Infrastructure
9.0
31
10.0
5
8.7
32
9.7
5
8.6
31
10.0
5
Cost and Efficiency - Generative AI Infrastructure
8.0
34
9.7
5
7.7
31
10.0
5
8.1
30
10.0
5
Integration and Extensibility - Generative AI Infrastructure
8.5
30
10.0
5
8.3
32
9.0
5
8.5
31
9.7
5
Security and Compliance - Generative AI Infrastructure
8.7
30
9.0
5
8.3
32
9.0
5
8.9
30
10.0
5
Usability and Support - Generative AI Infrastructure
8.2
31
10.0
6
8.5
31
10.0
5
Functionality - Process Orchestration
Not enough data
8.4
53
Not enough data
8.9
55
Not enough data
9.3
64
Not enough data
9.4
59
Not enough data
9.0
51
Integration & Adaptability - Process Orchestration
Not enough data
9.3
55
Not enough data
9.2
54
Not enough data
8.9
58
Not enough data
8.8
56
Not enough data
8.7
53
Not enough data
8.7
51
Not enough data
8.9
51
Not enough data
8.9
51
Integration - Machine Learning
8.5
68
Not enough data
Learning - Machine Learning
8.5
66
Not enough data
8.3
65
Not enough data
8.8
66
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
9.0
26
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.8
24
Not enough data
9.0
24
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
8.8
22
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
9.3
25
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
9.1
24
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
9.2
23
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
9.0
23
Not enough data
8.7
22
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
8.7
23
Not enough data
8.9
22
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
8.7
21
Not enough data
9.1
22
Not enough data
Security - Large Language Model Operationalization (LLMOps)
9.1
22
Not enough data
9.0
23
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
8.9
22
Not enough data
Customization - AI Agent Builders
8.6
28
9.0
13
7.6
27
9.0
13
8.3
26
9.2
11
Functionality - AI Agent Builders
8.1
27
9.0
12
7.3
27
8.9
12
8.2
26
9.0
12
7.2
27
8.7
13
Data and Analytics - AI Agent Builders
7.8
26
9.3
10
7.9
27
9.5
10
8.1
28
9.0
10
Integration - AI Agent Builders
8.8
28
9.1
13
8.2
30
9.3
10
8.1
28
9.4
11
7.5
27
9.4
13
Workflow Design & Integration - AI Orchestration
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
Performance Optimization & Analytics - AI Orchestration
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
Governance & Compliance Controls - AI Orchestration
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
Agentic AI - Productivity Bots
Not enough data
9.4
8
Not enough data
9.2
6
Not enough data
8.3
6
Not enough data
8.9
6
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
Management
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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
API Construction
Not enough data
8.8
182
Not enough data
8.9
177
Not enough data
8.9
176
Not enough data
9.0
186
API Management
Not enough data
8.7
164
Not enough data
8.4
183
Not enough data
8.7
183
Not enough data
Feature Not Available
Not enough data
8.5
163
Data Integration
Not enough data
9.3
198
Not enough data
8.8
186
Not enough data
8.5
166
Categories
Categories
Shared Categories
Vertex AI and Workato are categorized as Generative AI Infrastructure and AI Agent Builders
Unique Categories
Vertex AI is categorized as Large Language Model Operationalization (LLMOps), MLOps Platforms, Data Science and Machine Learning Platforms, Machine Learning, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Vertex AI
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Workato
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
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%
Computer Software
22.9%
Information Technology and Services
20.2%
Financial Services
5.4%
Retail
3.7%
Construction
2.9%
Other
44.9%
Alternatives
Discussions
What is Google Cloud AI Platform used for?
3 Comments
AO
Vertex AI is Google Cloud’s managed machine learning platform. It’s used to build, train, and deploy ML models at scale. It unifies data, AutoML, and custom...Read more
What software libraries does cloud ML engine support?
3 Comments
AO
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?
2 Comments
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
What is a Workato recipe?
3 Comments
GM
The recipe is Workato's main asset which houses the step-by-step integration process. In it you can build the flows and connect multiple applications.Read more
Are on-premise applications and databases supported?
2 Comments
Official Response from Workato
Yes, we support on-premise applications, databases and even your own custom application that can be connected with REST, SOAP. To connect to on-premise...Read more
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