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Compare Kong Gateway and Vertex AI 
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At a Glance
Market Segments
Mid-Market (39.3% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
Pay As You Go Per Month
Kong Gateway
Star Rating
(269)4.4 out of 5
Market Segments
Mid-Market (39.3% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Learn more about Kong GatewayVertex 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 Kong Gateway excels in ease of use with a score of 8.6, as reviewers mention its intuitive interface and straightforward navigation, making it easier for teams to adopt and utilize effectively.
- Reviewers mention that Vertex AI, while slightly lower in ease of use at 8.2, offers powerful machine learning capabilities that some users find invaluable for data-driven projects, particularly in small business environments.
- G2 users highlight Kong Gateway's strong performance in ease of setup, scoring 8.4, with many stating that the quick deployment process allows for faster integration into existing systems, which is crucial for mid-market companies.
- Users on G2 report that Vertex AI, with a setup score of 8.1, can be more complex due to its advanced features, which may require additional time and resources for proper configuration, especially for smaller businesses.
- Reviewers say that Kong Gateway has been a reliable partner in business, scoring 8.7, with many praising its responsive support team and the quality of assistance provided during implementation and troubleshooting.
- Users report that both products have a positive product direction, with Kong Gateway at 9.3 and Vertex AI at 9.2, but reviewers mention that Kong Gateway's frequent updates and feature enhancements are particularly beneficial for keeping pace with industry changes.
Pricing
Entry-Level Pricing
Kong 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
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
Kong Gateway
Free Trial is available
Vertex AI
Free Trial is available
Ratings
Meets Requirements
8.5
227
8.6
359
Ease of Use
8.6
230
8.2
368
Ease of Setup
8.4
173
8.1
291
Ease of Admin
8.3
132
7.9
141
Quality of Support
8.3
214
8.1
335
Has the product been a good partner in doing business?
8.7
122
8.2
135
Product Direction (% positive)
9.3
219
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
Development
8.4
79
Not enough data
8.4
74
Not enough data
8.3
76
Not enough data
8.8
76
Not enough data
Collaboration
8.3
75
Not enough data
8.3
74
Not enough data
8.4
75
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.9
28
Not enough data
8.6
28
Not enough data
8.5
28
Cost and Efficiency - Generative AI Infrastructure
Not enough data
8.2
28
Not enough data
7.8
28
Not enough data
7.9
28
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.4
28
Not enough data
8.1
28
Not enough data
8.3
28
Security and Compliance - Generative AI Infrastructure
Not enough data
8.6
28
Not enough data
8.5
28
Not enough data
8.9
28
Usability and Support - Generative AI Infrastructure
Not enough data
8.2
28
Not enough data
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
8.9
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
Development - API Platforms
7.6
9
Not enough data
9.1
9
Not enough data
7.4
9
Not enough data
8.9
9
Not enough data
Collaboration - API Platforms
7.6
9
Not enough data
8.1
9
Not enough data
7.8
9
Not enough data
API Management - API Platforms
7.4
9
Not enough data
8.7
9
Not enough data
8.9
9
Not enough data
8.0
9
Not enough data
6.9
9
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
API Construction
8.4
168
Not enough data
8.7
172
Not enough data
8.3
172
Not enough data
9.1
168
Not enough data
API Management
8.8
173
Not enough data
8.3
174
Not enough data
8.4
169
Not enough data
7.4
157
Not enough data
8.9
172
Not enough data
Data Integration
8.6
166
Not enough data
8.0
155
Not enough data
8.7
164
Not enough data
Categories
Categories
Shared Categories
Kong Gateway and Vertex AI are categorized as Large Language Model Operationalization (LLMOps)
Unique Categories
Vertex AI is categorized as Generative AI Infrastructure, MLOps Platforms, Data Science and Machine Learning Platforms, Machine Learning, AI Agent Builders, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Kong Gateway
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
Computer Software
22.8%
Information Technology and Services
12.0%
Financial Services
9.0%
Banking
6.4%
Computer & Network Security
4.9%
Other
44.9%
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%
Alternatives
Discussions
Is Kong Devops tool?
6 Comments
DK
noRead more
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
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?
2 Comments
JP
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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