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Compare Dify.AI and Vertex AI 
At a Glance
Market Segments
Small-Business (40.0% of reviews)
Small-Business (41.2% of reviews)
Entry-Level Pricing
Free
Pay As You Go Per Month
Dify.AI
Star Rating
(20)4.1 out of 5
Market Segments
Small-Business (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 4 pricing plansVertex AI
Star Rating
(636)4.3 out of 5
Market Segments
Small-Business (41.2% 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.
- 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 Dify.AI stands out for its ease of use and quick implementation, with one reviewer noting they were able to set it up in just a day to automate email outreach. This makes Dify an attractive option for smaller teams or individuals needing a straightforward AI tool without extensive setup time.
- Reviewers mention that Vertex AI's integration with Google Cloud is seamless, enhancing its functionality for users who are already within that ecosystem. This integration allows for efficient management of machine learning models, which is a significant advantage for businesses leveraging cloud services.
- According to verified reviews, Dify.AI is praised for its user-friendly interface, which helps users quickly adapt to the platform. One user noted that it has become their daily driver for AI tasks, indicating that it effectively meets the needs of those looking for a reliable and intuitive tool.
- G2 reviewers highlight that while Vertex AI has a higher overall satisfaction score, Dify.AI offers competitive ratings in areas like ease of setup and support quality. Users appreciate Dify's responsive customer service, which can be crucial for those who may need assistance during their AI implementation.
- Users report that Vertex AI's comprehensive features come with a cost, as it operates on a pay-as-you-go model, which may not be ideal for all budgets. In contrast, Dify.AI's free entry-level pricing makes it accessible for small businesses or individuals looking to explore AI capabilities without financial commitment.
Pricing
Entry-Level Pricing
Dify.AI
Sandbox Plan
Free
200 times GPT free trial.
- Message Credits :200 messages
- Model Providers: OpenAI/Anthropic/Llama2/Azure OpenAI/Hugging Face/Replicate
- Team Members : 1
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
Dify.AI
No trial information availableVertex AI
Free Trial is available
Ratings
Meets Requirements
8.5
20
8.6
381
Ease of Use
8.5
20
8.2
392
Ease of Setup
8.8
20
8.1
315
Ease of Admin
Not enough data
7.9
147
Quality of Support
8.2
19
8.1
356
Has the product been a good partner in doing business?
Not enough data
8.3
141
Product Direction (% positive)
9.4
20
9.2
375
Features by Category
Deployment
Not enough data
8.4
76
Not enough data
8.1
77
Not enough data
8.3
76
Not enough data
8.4
76
Not enough data
8.8
74
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
72
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
8.3
36
Not enough data
8.5
36
System
Not enough data
8.2
172
Model Development
Not enough data
8.4
205
Not enough data
7.9
180
Not enough data
8.4
203
Not enough data
8.5
208
Model Development
Not enough data
8.2
166
Machine/Deep Learning Services
Not enough data
8.2
202
Not enough data
8.5
200
Not enough data
8.2
197
Not enough data
8.2
179
Machine/Deep Learning Services
Not enough data
8.5
166
Not enough data
8.4
163
Deployment
Not enough data
8.3
207
Not enough data
8.3
198
Not enough data
8.5
202
Generative AI
Not enough data
8.3
107
Not enough data
8.3
104
Not enough data
8.1
104
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.1
36
Not enough data
7.8
36
Not enough data
7.7
37
Not enough data
7.8
34
Not enough data
8.4
36
Not enough data
7.5
35
Not enough data
7.6
35
Scalability and Performance - Generative AI Infrastructure
8.8
13
9.0
30
8.8
13
8.6
30
9.0
13
8.6
30
Cost and Efficiency - Generative AI Infrastructure
7.8
12
8.0
33
8.7
13
7.7
30
8.6
13
8.0
29
Integration and Extensibility - Generative AI Infrastructure
8.5
12
8.4
29
8.5
12
8.2
30
8.6
13
8.4
29
Security and Compliance - Generative AI Infrastructure
8.6
11
8.7
29
8.6
12
8.4
30
8.8
12
8.9
29
Usability and Support - Generative AI Infrastructure
8.8
13
8.1
30
8.6
13
8.4
30
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
8.9
26
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
23
Not enough data
8.9
23
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
24
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
23
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
23
Not enough data
8.7
21
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
8.6
22
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
8.1
28
Not enough data
8.0
27
Not enough data
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
Categories
Categories
Shared Categories
Dify.AI and Vertex AI are categorized as Large Language Model Operationalization (LLMOps) and Generative AI Infrastructure
Unique Categories
Dify.AI is categorized as Other Development
Vertex AI is categorized as MLOps Platforms, Data Science and Machine Learning Platforms, Machine Learning, AI Agent Builders, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Dify.AI
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
20.0%
Information Services
20.0%
Computer Software
15.0%
Marketing and Advertising
10.0%
Outsourcing/Offshoring
5.0%
Other
30.0%
Computer Software
17.8%
Information Technology and Services
14.3%
Financial Services
6.8%
Retail
3.6%
Hospital & Health Care
3.3%
Other
54.2%
Alternatives
Discussions
Dify.AI has no discussions with answers
What is Google Cloud AI Platform used for?
2 Comments
KS
Google cloud AI Platform enables us to build Machine learning models, that works on any type and any size of data. Read more
What software libraries does cloud ML engine support?
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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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