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Compare Azure Machine Learning and Kong Gateway 
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At a Glance
Market Segments
Enterprise (38.8% of reviews)
Mid-Market (40.3% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
Azure Machine Learning
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (38.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Machine LearningKong Gateway
Star Rating
(276)4.4 out of 5
Market Segments
Mid-Market (40.3% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Learn more about Kong GatewaySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Reviews say that Kong Gateway excels in ease of use with a score of 8.6, making it user-friendly for developers and operations teams, while Azure Machine Learning follows closely with a score of 8.5, indicating a slightly steeper learning curve for some users.
- Users report that Kong Gateway's Pay As You Go pricing model is advantageous for mid-market companies, allowing flexibility in budgeting, whereas Azure Machine Learning's pricing structure is less clear, which can be a concern for potential buyers.
- Reviewers mention that Kong Gateway has a higher total number of reviews (274) compared to Azure Machine Learning (85), suggesting a more established user base and potentially more robust community support.
- Users on G2 highlight that both products meet requirements equally well, scoring 8.5, but Kong Gateway is noted for its strong API management features, which are crucial for integration in microservices architectures.
- G2 users indicate that while Azure Machine Learning has a slight edge in quality of support with a score of 8.6, Kong Gateway's support is still highly rated at 8.3, with users appreciating the responsiveness of the support team.
- Reviewers mention that Kong Gateway shines in product direction with a score of 9.3, reflecting a strong commitment to innovation and user feedback, while Azure Machine Learning, with a score of 9.0, is also seen as forward-thinking but slightly less so in comparison.
Pricing
Entry-Level Pricing
Azure Machine Learning
No pricing availableKong Gateway
Kong Konnect
Pay As You Go
Per Month
- The easiest way to get started with Kong Gateway
- Customizable Dev Portal
- Plugins to extend capabilities including authentication, authorization, rate-limiting, transformations, security, and more
Free Trial
Azure Machine Learning
No trial information availableKong Gateway
Free Trial is available
Ratings
Meets Requirements
8.5
81
8.5
233
Ease of Use
8.5
80
8.6
236
Ease of Setup
8.3
57
8.4
179
Ease of Admin
8.3
49
8.4
137
Quality of Support
8.6
74
8.3
220
Has the product been a good partner in doing business?
8.6
47
8.7
126
Product Direction (% positive)
9.0
80
9.3
224
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
8.6
22
Not enough data
Model Development
8.6
51
Not enough data
8.9
54
Not enough data
8.3
53
Not enough data
8.7
52
Not enough data
Model Development
8.4
21
Not enough data
Machine/Deep Learning Services
8.1
45
Not enough data
7.9
45
Not enough data
7.8
38
Not enough data
8.2
42
Not enough data
Machine/Deep Learning Services
8.7
21
Not enough data
8.5
21
Not enough data
Deployment
8.8
50
Not enough data
8.7
51
Not enough data
8.9
51
Not enough data
Generative AI
8.5
10
Not enough data
8.2
10
Not enough data
7.5
10
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
Development
Not enough data
8.4
81
Not enough data
8.5
76
Not enough data
8.2
78
Not enough data
8.8
78
Collaboration
Not enough data
8.3
77
Not enough data
8.3
76
Not enough data
8.4
77
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
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
Development - API Platforms
Not enough data
7.8
10
Not enough data
9.2
10
Not enough data
7.2
10
Not enough data
9.0
10
Collaboration - API Platforms
Not enough data
7.8
10
Not enough data
8.3
10
Not enough data
8.0
10
API Management - API Platforms
Not enough data
7.3
10
Not enough data
8.8
10
Not enough data
9.0
10
Not enough data
7.8
10
Not enough data
6.7
10
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
API Construction
Not enough data
8.4
174
Not enough data
8.7
177
Not enough data
8.2
177
Not enough data
9.1
173
API Management
Not enough data
8.8
179
Not enough data
8.3
180
Not enough data
8.3
175
Not enough data
7.3
162
Not enough data
8.9
178
Data Integration
Not enough data
8.6
171
Not enough data
7.9
160
Not enough data
8.7
170
Categories
Categories
Shared Categories
Azure Machine Learning and Kong Gateway are categorized as Large Language Model Operationalization (LLMOps)
Unique Categories
Azure Machine Learning is categorized as MLOps Platforms, Data Science and Machine Learning Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Azure Machine Learning
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Kong Gateway
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
28.2%
Computer Software
14.1%
Management Consulting
8.2%
Education Management
5.9%
Higher Education
4.7%
Other
38.8%
Computer Software
23.1%
Information Technology and Services
12.5%
Financial Services
8.8%
Banking
6.2%
Computer & Network Security
4.8%
Other
44.7%
Alternatives
Discussions
What is Azure Machine Learning Studio used for?
1 Comment
AR
In short, to build, deploy, and manage high-quality models faster and with confidence.Read more
Azure Machine Learning has no more discussions with answers
What does KONG software do?
3 Comments
TP
Great question! Kong API Gateway is a service connectivity platform that allows teams to build, test, deploy, and securely expose their services across any...Read more
What is the use of Kong API gateway?
1 Comment
Official Response from Kong Gateway
Hello,
Kong Gateway is cloud-native API management solution that allows you to build, run, and govern your APIs and microservices. You can learn more...Read more
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