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At a Glance
Market Segments
Small-Business (40.0% of reviews)
Small-Business (41.0% 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
(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 excels in AI High Availability with a score of 9.2, which reviewers mention contributes to a more reliable service for critical applications, while Dify.AI's score of 8.8 indicates it may not be as robust in this area.
- Reviewers mention that Dify.AI offers a free entry-level price, making it more accessible for small businesses, whereas Vertex AI operates on a Pay As You Go model, which some users find less appealing for budget-conscious projects.
- G2 users highlight that Dify.AI has a higher ease of setup score (9.0) compared to Vertex AI (8.2), suggesting that users find Dify.AI more user-friendly and quicker to implement, which is crucial for teams looking to get started without extensive onboarding.
- Users on G2 report that Vertex AI's AI Inference Speed (8.6) is slightly lower than Dify.AI's (9.0), indicating that Dify.AI may provide faster responses in real-time applications, which is a significant factor for performance-sensitive tasks.
- Reviewers mention that Dify.AI has a better score in AI Resource Allocation Flexibility (8.7) compared to Vertex AI (7.9), suggesting that Dify.AI allows for more adaptable resource management, which can be a game-changer for scaling projects efficiently.
- Users say that both platforms have similar scores in AI GDPR and Regulatory Compliance (8.6), but Dify.AI's overall user experience and support features, such as AI Documentation Quality (8.8), are perceived as superior, making it easier for teams to navigate compliance requirements.
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
359
Ease of Use
8.5
20
8.2
368
Ease of Setup
8.8
20
8.1
291
Ease of Admin
Not enough data
7.9
141
Quality of Support
8.2
19
8.1
335
Has the product been a good partner in doing business?
Not enough data
8.2
135
Product Direction (% positive)
9.4
20
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
Scalability and Performance - Generative AI Infrastructure
8.8
13
8.9
28
8.8
13
8.6
28
9.0
13
8.5
28
Cost and Efficiency - Generative AI Infrastructure
7.8
12
8.2
28
8.7
13
7.8
28
8.6
13
7.9
28
Integration and Extensibility - Generative AI Infrastructure
8.5
12
8.4
28
8.5
12
8.1
28
8.6
13
8.3
28
Security and Compliance - Generative AI Infrastructure
8.6
11
8.6
28
8.6
12
8.5
28
8.8
12
8.9
28
Usability and Support - Generative AI Infrastructure
8.8
13
8.2
28
8.6
13
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
9.0
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
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
8.0
27
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
17.5%
Information Technology and Services
13.9%
Financial Services
7.0%
Retail
3.8%
Hospital & Health Care
3.4%
Other
54.4%
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Discussions
Dify.AI has no discussions with answers
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