Compare Gemini Enterprise Agent Platform and Kong Gateway 
At a Glance
Market Segments
Small-Business (42.2% of reviews)
Mid-Market (38.6% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
Pay As You Go Per Month
Gemini Enterprise Agent Platform
Star Rating
(652)4.3 out of 5
Market Segments
Small-Business (42.2% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Learn more about Gemini Enterprise Agent PlatformKong Gateway
Star Rating
(308)4.4 out of 5
Market Segments
Mid-Market (38.6% 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.
- G2 reviewers report that Kong Gateway excels in its plugin architecture, allowing users to easily add new features. This flexibility is particularly appreciated by those managing APIs, as it supports a robust and scalable environment for API management.
- Users say that Vertex AI stands out for its ability to centralize the machine learning lifecycle, making it easier to manage everything from data preparation to deployment. This comprehensive approach significantly reduces the complexity of handling ML workflows, which is a major plus for teams looking to streamline their processes.
- Reviewers mention that while Kong Gateway offers impressive performance, its open-source nature can lead to challenges with support, particularly when integrating with other systems. Some users have noted delays in receiving assistance for new feature requests, which could impact teams needing quick resolutions.
- According to verified reviews, Vertex AI's seamless integration with Google Cloud is a game-changer for users, simplifying the management of ML projects. This integration allows for a more cohesive experience, which is especially beneficial for businesses already invested in the Google ecosystem.
- G2 reviewers highlight that Kong Gateway has a strong focus on Mesh Identity support, which is crucial for organizations looking to enhance their security and identity management. This feature is particularly valuable for mid-market companies that require robust API management solutions.
- Users express that Vertex AI simplifies the entire ML process, with many praising its ability to reduce effort in building, training, and deploying models. This ease of use is a significant advantage for teams that may not have extensive ML expertise, making it accessible for small businesses looking to leverage AI.
Pricing
Entry-Level Pricing
Gemini Enterprise Agent Platform
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
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
Free Trial
Gemini Enterprise Agent Platform
No trial information availableKong Gateway
Free Trial is available
Ratings
Meets Requirements
8.6
387
8.5
252
Ease of Use
8.1
398
8.6
256
Ease of Setup
8.1
320
8.4
198
Ease of Admin
7.9
150
8.4
141
Quality of Support
8.1
363
8.4
238
Has the product been a good partner in doing business?
8.3
144
8.7
130
Product Direction (% positive)
9.2
381
9.2
245
Features by Category
Deployment
8.4
76
Not enough data
8.1
78
Not enough data
8.3
76
Not enough data
8.4
76
Not enough data
8.8
75
Not enough data
Deployment
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
Not enough data
Management
8.2
71
Not enough data
8.5
73
Not enough data
8.0
71
Not enough data
8.1
70
Not enough data
Operations
8.2
70
Not enough data
8.5
71
Not enough data
8.3
71
Not enough data
Management
8.1
69
Not enough data
8.4
72
Not enough data
8.3
70
Not enough data
Generative AI
8.4
37
Not enough data
8.6
37
Not enough data
System
8.2
170
Not enough data
Model Development
8.5
206
Not enough data
7.8
179
Not enough data
8.4
204
Not enough data
8.5
206
Not enough data
Model Development
8.2
164
Not enough data
Machine/Deep Learning Services
8.3
201
Not enough data
8.5
200
Not enough data
8.2
197
Not enough data
8.2
178
Not enough data
Machine/Deep Learning Services
8.5
164
Not enough data
8.5
163
Not enough data
Deployment
8.3
210
Not enough data
8.3
200
Not enough data
8.6
205
Not enough data
Generative AI
8.3
106
Not enough data
8.3
103
Not enough data
8.1
102
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
8.0
35
Not enough data
7.8
34
Not enough data
7.6
36
Not enough data
7.8
32
Not enough data
8.4
34
Not enough data
7.4
33
Not enough data
7.6
33
Not enough data
Development
Not enough data
8.5
82
Not enough data
8.5
77
Not enough data
8.3
79
Not enough data
8.8
79
Collaboration
Not enough data
8.4
78
Not enough data
8.4
77
Not enough data
8.4
78
Customization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Organization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
9.0
31
Not enough data
8.7
32
Not enough data
8.6
31
Not enough data
Cost and Efficiency - Generative AI Infrastructure
8.0
34
Not enough data
7.7
31
Not enough data
8.1
30
Not enough data
Integration and Extensibility - Generative AI Infrastructure
8.5
30
Not enough data
8.3
32
Not enough data
8.5
31
Not enough data
Security and Compliance - Generative AI Infrastructure
8.7
30
Not enough data
8.3
32
Not enough data
8.9
30
Not enough data
Usability and Support - Generative AI Infrastructure
8.2
31
Not enough data
8.5
31
Not enough data
Integration - Machine Learning
8.5
66
Not enough data
Learning - Machine Learning
8.5
64
Not enough data
8.3
63
Not enough data
8.8
64
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
9.0
26
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.8
24
Not enough data
9.0
24
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
8.8
22
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
9.3
25
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
9.1
24
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
9.2
23
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
9.0
23
Not enough data
8.7
22
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
8.7
23
Not enough data
8.9
22
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
8.7
21
Not enough data
9.1
22
Not enough data
Security - Large Language Model Operationalization (LLMOps)
9.1
22
Not enough data
9.0
23
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
8.9
22
Not enough data
Customization - AI Agent Builders
8.6
28
Not enough data
7.6
27
Not enough data
8.3
26
Not enough data
Functionality - AI Agent Builders
8.1
27
Not enough data
7.3
27
Not enough data
8.2
26
Not enough data
7.2
27
Not enough data
Data and Analytics - AI Agent Builders
7.8
26
Not enough data
7.9
27
Not enough data
8.1
28
Not enough data
Integration - AI Agent Builders
8.8
28
Not enough data
8.2
30
Not enough data
8.1
28
Not enough data
7.5
27
Not enough data
Development - API Platforms
Not enough data
8.0
11
Not enough data
9.2
11
Not enough data
7.9
11
Not enough data
9.2
12
Collaboration - API Platforms
Not enough data
8.0
11
Not enough data
8.7
13
Not enough data
8.2
11
API Management - API Platforms
Not enough data
7.9
12
Not enough data
9.0
12
Not enough data
9.2
12
Not enough data
8.3
12
Not enough data
7.4
11
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
8.8
188
Not enough data
8.3
176
Not enough data
9.1
181
API Management
Not enough data
8.9
186
Not enough data
8.4
181
Not enough data
8.4
178
Not enough data
7.4
159
Not enough data
8.9
187
Data Integration
Not enough data
8.7
172
Not enough data
8.0
159
Not enough data
8.6
182
Categories
Categories
Shared Categories
Gemini Enterprise Agent Platform and Kong Gateway are categorized as Large Language Model Operationalization (LLMOps)
Unique Categories
Gemini Enterprise Agent Platform 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
Kong Gateway is categorized as API Documentation Management, API Platforms, API Development, and API Management
Reviews
Reviewers' Company Size
Gemini Enterprise Agent Platform
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
Computer Software
17.6%
Information Technology and Services
14.2%
Financial Services
6.9%
Retail
3.6%
Hospital & Health Care
3.4%
Other
54.2%
Computer Software
22.4%
Information Technology and Services
12.2%
Financial Services
8.5%
Banking
8.2%
Telecommunications
5.1%
Other
43.5%
Alternatives
Discussions
What is Google Cloud AI Platform used for?
3 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?
3 Comments
SA
Google Cloud ML Engine supports many software libraries, including TensorFlow, scikit-learn, XGBoost, Keras, etc....Read more
What is Google AI platform?
2 Comments
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
Is Kong Devops tool?
6 Comments
SS
It' a one of kind gateway service which used to protect other underwood services which come with many featuresRead 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
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