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Comet vs Kong Konnect comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.2
Comet users save time and boost productivity through automation, improved tracking, and enhanced collaboration, reducing manual efforts.
Sentiment score
6.3
Kong Konnect reduced debugging by 30%, improved API performance, enhanced security, and cut costs through efficient team management.
I estimate I spend around thirty to forty percent less time organizing and comparing experiment results compared to manual tracking.
student at a university with 5,001-10,000 employees
Comet's return on investment is evident through significant time reduction, which is the most crucial factor I have observed.
Senior Data Scientist at a consultancy with 1-10 employees
While that is not a significant improvement, it has helped me with summarizing and drafting emails.
AI/ML Engineer
Time saved is a relevant metric; it used to take us a week, but now it takes us only a day.
Lead Software Engineer at a computer software company with 51-200 employees
I have seen a return on investment with Kong Konnect, as it helps manage security very well, allows for faster API deployments saving developer time, and reduces salary costs with better uptime and minimal downtime, thus preventing potential business loss.
Solution Architect at Dhanyaayai enterprise private limited
I have seen the scalability of being able to manage 80 to 100-plus teams with a small team of about three or four people.
CTO at Keogh Innovation
 

Customer Service

Sentiment score
5.9
Comet's support is praised for responsiveness, clear guidance, and effective integration with PyTorch and TensorFlow, ensuring smooth operations.
Sentiment score
7.8
Kong Konnect offers responsive 24/7 customer support with quick resolutions, tiered services, and community assistance enhancing user experience.
Comet's help center contributes significantly to building the AI-powered solution smoothly and rapidly.
Senior Data Scientist at a consultancy with 1-10 employees
I was able to troubleshoot all the issues with the online discussion forums.
student at a university with 5,001-10,000 employees
Technical support from Proofpoint was absolutely excellent.
Senior Software Engineer at Netenrich
When I raise an incident or a support ticket, it gets answered in four hours.
API Technical Architect at Independent API Consultant
They offer twenty-four-hour support with SLA-based response times.
Solution Architect at Dhanyaayai enterprise private limited
 

Scalability Issues

Sentiment score
6.1
Comet scales well for most projects, efficiently handling workloads with reliable performance, though dashboards may slow with high usage.
Sentiment score
7.8
Kong Konnect offers high scalability and flexibility for microservices, supporting auto-scaling and diverse deployments on cloud platforms.
Comet's scalability is excellent, as it can generate customized user-to-user browsers.
Senior Data Scientist at a consultancy with 1-10 employees
Overall, I would say Comet scales very well for academic to mid-sized machine learning projects, and it remains usable.
student at a university with 5,001-10,000 employees
Comet's scalability is limited for me since I usually do only one task, and when I overload Perplexity, I hit the limit very quickly.
Automation Engineer at a tech services company with 501-1,000 employees
The platform is fully scalable, providing various ways to manage data planes or runtimes.
IT Soulutoin Expert at a tech vendor with 10,001+ employees
Kong Konnect's scalability is very high, handles growth well, and since it is a stateless gateway, it scales easily in Kubernetes using horizontal scaling.
Solution Architect at Dhanyaayai enterprise private limited
Kong Konnect is the control plane, and there is the ability to add more teams and more control planes based on the number of teams you have onboarding.
CTO at Keogh Innovation
 

Stability Issues

Sentiment score
8.3
Comet is stable and reliable for experiment tracking, supporting multiple users and scaling without significant performance issues.
Sentiment score
8.0
Kong Konnect efficiently manages heavy API loads with reliable routing, stable data planes, and minimal control plane issues.
It was very fast, and we did not experience any interruptions.
Senior Software Engineer at Netenrich
Kong Konnect is very stable with no issues regarding reliability in my experience.
Solution Architect at Dhanyaayai enterprise private limited
I've seen them run at major scale in large companies across the whole of Europe.
CTO at Keogh Innovation
 

Room For Improvement

Comet requires faster performance, better security, seamless AI integration, and improved usability while addressing pricing and reliability issues.
Kong Konnect needs better debugging, clearer documentation, simpler configuration, enhanced CI/CD integration, improved RBAC support, and a simplified pricing model.
There are vulnerabilities to prompt injection attacks, and the AI can be tricked into leaking data or acting harmfully.
AI/ML Engineer
It needs to be smarter, utilizing better AI engines to combine data from various sources, and improve the intelligence of its answers, creativity, and document creation capabilities.
Manager & Co-Founder at Arido
Comet can be improved by being more stable and providing security features similar to Brave.
Cloud Operations Engineer at a tech vendor with 51-200 employees
The licensing model could be simplified, especially in how they charge and track usage.
IT Soulutoin Expert at a tech vendor with 10,001+ employees
When comparing documentation, Kong's documentation is not on par with Google, Amazon, or other cloud providers.
API Technical Architect at Independent API Consultant
Token integration presents challenges and has implementation complexities that need addressing.
Solution Architect at Dhanyaayai enterprise private limited
 

Setup Cost

Comet offers flexible, affordable pricing and easy management, with clear billing and minimal setup costs for enterprise users.
Enterprise buyers prefer direct vendor purchases for Kong Konnect licenses due to cloud marketplace limitations and varying pricing perceptions.
I found it easy to understand the pricing and subscription models for faster integration.
Senior Data Scientist at a consultancy with 1-10 employees
My experience with pricing, setup cost, and licensing is that I am using Perplexity, the pro version, which is connected to Comet, and together they provide me with very good results at a cost of only twenty dollars, which is acceptable to me.
Automation Engineer at a tech services company with 501-1,000 employees
My experience with pricing, setup cost, and licensing is that it was all free.
AI/ML Engineer
Pricing was the issue as it becomes very expensive due to the nature of local circumstances.
Senior Software Engineer at Netenrich
I wouldn't say that the setup cost is much more compared to using any other product.
CTO at Keogh Innovation
While the pricing model isn't very clear on how usage is tracked, the initial cost and setup for using Kong Konnect are reasonable.
IT Soulutoin Expert at a tech vendor with 10,001+ employees
 

Valuable Features

Comet excels in experiment tracking, task automation, collaboration tools, and integration with ML frameworks, enhancing teamwork and analysis.
Kong Konnect offers centralized API management with robust analytics, enhanced security features, scalability, and improved developer productivity.
The feature that keeps tabs open is great because they are updated and still on the same page where I left off, which is super helpful, allowing me to quickly return to what I was working on.
Manager & Co-Founder at Arido
It has transformed the workflow because fewer people are needed for some tasks, and the automation of tasks means that not much human effort is required.
Cloud Operations Engineer at a tech vendor with 51-200 employees
This setup significantly reduces task efficiency in high latency scenarios, providing dynamic websites, faster responses, quicker solutions, and smoother searches compared to typical browsing methods.
Senior Data Scientist at a consultancy with 1-10 employees
The documentation is excellent, and it includes a developer portal, which helps create a common distribution channel for APIs within and outside the enterprise.
IT Soulutoin Expert at a tech vendor with 10,001+ employees
When I mention scalability, it means that when we experience peak traffic, Kong made it easy for us to scale and spawn new machines.
Lead Software Engineer at a computer software company with 51-200 employees
The security features of Kong Konnect have helped my team mainly by allowing us to use auth and JWT for applications needing external identity provider authentications, such as LDAP or other authentication providers that need to be connected to back-end applications.
Solution Architect at Dhanyaayai enterprise private limited
 

Categories and Ranking

Comet
Ranking in AI Observability
12th
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
9
Ranking in other categories
AIOps (12th)
Kong Konnect
Ranking in AI Observability
14th
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
9
Ranking in other categories
API Management (13th)
 

Mindshare comparison

As of July 2026, in the AI Observability category, the mindshare of Comet is 0.8%, up from 0.1% compared to the previous year. The mindshare of Kong Konnect is 0.6%. It is calculated based on PeerSpot user engagement data.
AI Observability Mindshare Distribution
ProductMindshare (%)
Comet0.8%
Kong Konnect0.6%
Other98.6%
AI Observability
 

Featured Reviews

reviewer2827170 - PeerSpot reviewer
student at a university with 5,001-10,000 employees
Organizing research experiments has improved and supports faster model comparison and learning
My experience with Comet has been very positive, but there are a few areas where it could be improved. One area is the learning curve for new users. Some of the more advanced features can feel overwhelming at first, especially for students who are new to machine learning experiment tracking. More beginner-friendly tutorials and guided onboarding would help. I would also like to see more customization options for dashboards and visualizations, making it easier to create views tailored to specific projects. Another improvement would be deeper integration with commonly used collaboration tools, which would streamline project documentation and team workflows. There are a few additional areas where Comet could improve. From a performance perspective, I occasionally notice that dashboards with a large number of experiments can take longer to load or navigate. Regarding documentation, while the available resources are helpful, I would appreciate more beginner-focused examples, step-by-step tutorials, and real-world use cases. For support, my experience has generally been good, but having more community resources, discussion forums, webinars, or educational content specifically aimed at students and researchers would be valuable.
AK
CTO at Keogh Innovation
Centralizes API and AI control planes and has enabled federated self-service for many teams
The whole area of API and AI management is quite complex, with so many different ways of being able to do things. I think a positive of Kong is that it's so configurable and extendable, but that is also a con because there are so many ways of achieving the same thing that I think often people are either confused or struggle to get going as to how to solve a particular problem. In my mind, a more opinionated deployment of Kong itself or even how to solve certain use cases would be something I would like to see, so a more opinionated use of their products and configuration of their products on how to solve the most common use cases. That's probably the main thing about needed improvements for Kong Konnect. It's a pretty fully-fledged platform; there obviously are portions of it that could be improved. But I think overall as a platform, it's really good, and I think it can help the majority of organizations looking to manage their throughput of APIs or AI traffic. The majority of what I've said before probably covers the improvements needed for Kong Konnect. There probably are some API Ops and AI Ops changes that could be improved, which is not necessarily the Kong Konnect product, but some of the toolchains around it. I'm thinking around, especially if it's API Ops, about topics like better GitOps processes and the ways of being able to roll back changes when there are issues. At the moment, a lot of that is either non-existent or is hand-cranked. I would like to see the ability to roll back configurations when there are issues being added to the product.
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Top Industries

By visitors reading reviews
Energy/Utilities Company
15%
Manufacturing Company
14%
Construction Company
11%
Financial Services Firm
10%
Financial Services Firm
15%
Outsourcing Company
13%
Manufacturing Company
13%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise4
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise3
 

Questions from the Community

What needs improvement with Comet for SageMaker Partner AI Apps?
I'm not sure how Comet can be improved, as I've only been working on it for three months, so I feel like I need a bit more time to be able to answer this question.
What is your primary use case for Comet for SageMaker Partner AI Apps?
My main use case for Comet is looking at investigations related to health and safety issues and incidents. For a health and safety investigation, I create a timeline of the events that led up to th...
What is your experience regarding pricing and costs for Comet?
My experience with pricing, setup cost, and licensing is that I am using Perplexity, the pro version, which is connected to Comet, and together they provide me with very good results at a cost of o...
What is your experience regarding pricing and costs for Kong Konnect?
The processing of the license for Kong Konnect is normally handled by procurement, so in large enterprises, that's not something I've had to deal with, so I can't really comment on that at all. Set...
What needs improvement with Kong Konnect?
The whole area of API and AI management is quite complex, with so many different ways of being able to do things. I think a positive of Kong is that it's so configurable and extendable, but that is...
What is your primary use case for Kong Konnect?
My main use case for Kong Konnect, at least with the clients that I work with, is to create a centralized single pane of glass for all of their control planes, whether it be for their API gateways ...
 

Comparisons

 

Also Known As

Comet for SageMaker Partner AI Apps
No data available
 

Overview

Find out what your peers are saying about Comet vs. Kong Konnect and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.