Compare Amazon SageMaker and Dify.AI 
At a Glance
Market Segments
Enterprise (34.9% of reviews)
Small-Business (40.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Amazon SageMaker
Star Rating
(48)4.2 out of 5
Market Segments
Enterprise (34.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerDify.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 plansAmazon SageMaker vs Dify.AI
- Reviewers felt that Amazon SageMaker meets the needs of their business better than Dify.AI.
- When comparing quality of ongoing product support, reviewers felt that Amazon SageMaker is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Dify.AI over Amazon SageMaker.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableDify.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
Free Trial
Amazon SageMaker
No trial information availableDify.AI
No trial information availableRatings
Meets Requirements
8.6
38
8.5
20
Ease of Use
8.4
39
8.5
20
Ease of Setup
8.5
26
8.8
20
Ease of Admin
8.4
20
Not enough data
Quality of Support
8.6
34
8.2
19
Has the product been a good partner in doing business?
9.2
20
Not enough data
Product Direction (% positive)
9.1
37
9.4
20
Features by Category
Deployment
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
Deployment
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
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
Operations
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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
8.3
20
Not enough data
Model Development
8.7
29
Not enough data
8.2
28
Not enough data
8.3
33
Not enough data
8.9
33
Not enough data
Model Development
8.4
19
Not enough data
Machine/Deep Learning Services
8.9
26
Not enough data
9.1
28
Not enough data
8.9
25
Not enough data
9.0
28
Not enough data
Machine/Deep Learning Services
9.2
17
Not enough data
9.2
18
Not enough data
Deployment
8.7
33
Not enough data
8.7
33
Not enough data
9.0
31
Not enough data
Generative AI
8.6
6
Not enough data
9.2
6
Not enough data
8.3
5
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.8
13
Not enough data
8.8
13
Not enough data
9.0
13
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.8
12
Not enough data
8.7
13
Not enough data
8.6
13
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.5
12
Not enough data
8.5
12
Not enough data
8.6
13
Security and Compliance - Generative AI Infrastructure
Not enough data
8.6
11
Not enough data
8.6
12
Not enough data
8.8
12
Usability and Support - Generative AI Infrastructure
Not enough data
8.8
13
Not enough data
8.6
13
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
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
Categories
Categories
Shared Categories
Amazon SageMaker and Dify.AI are categorized as Generative AI Infrastructure
Unique Categories
Amazon SageMaker is categorized as MLOps Platforms, Data Science and Machine Learning Platforms, and Low-Code Machine Learning Platforms
Dify.AI is categorized as Other Development and Large Language Model Operationalization (LLMOps)
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Dify.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
20.9%
Computer Software
16.3%
Marketing and Advertising
4.7%
Internet
4.7%
Education Management
4.7%
Other
48.8%
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%
Alternatives
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 Comment
VJ
https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-operators-for-kubernetes/Read more
How do i make this platform reach to most of my developers?
1 Comment
VJ
you can manage the access via IAM users and roles and give them access as per their need, Sagemaker by default has all the basic AWS feature and you can...Read more
Amazon SageMaker has no more discussions with answers
Dify.AI has no discussions with answers
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