Try our new research platform with insights from 80,000+ expert users

DataRobot 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:
 

Categories and Ranking

DataRobot
Ranking in AI Observability
66th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
6
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (15th), AIOps (15th), AI Finance & Accounting (4th)
Kong Konnect
Ranking in AI Observability
71st
Average Rating
8.8
Reviews Sentiment
5.3
Number of Reviews
5
Ranking in other categories
API Management (22nd)
 

Mindshare comparison

As of January 2026, in the AI Observability category, the mindshare of DataRobot is 0.6%, down from 1.1% compared to the previous year. The mindshare of Kong Konnect is 0.2%. It is calculated based on PeerSpot user engagement data.
AI Observability Market Share Distribution
ProductMarket Share (%)
DataRobot0.6%
Kong Konnect0.2%
Other99.2%
AI Observability
 

Featured Reviews

Naqash Ahmed - PeerSpot reviewer
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
Automation has improved efficiency and decision-making while big data handling and transparency still need work
Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black box. For example, when I uploaded a large data set of about two gigabytes for processing, the time taken was slower than expected. Additionally, the handling of bigger data sets could be better, as it performs extremely well with smaller datasets but can lag with larger ones. The integration with some other tools used in our organization can also be challenging, and more flexibility for custom pre-processing and advanced model tuning would be beneficial. In terms of support and documentation, I believe improvements are needed. For instance, the response time from DataRobot could be quicker, which would be appreciated when we need assistance. The documentation is generally sufficient, but it can be lengthy and could use more real-world examples and step-by-step tutorials for better clarity. Lastly, creating a client community where users can share experiences and solutions might enhance the overall value and learning curve.
SA
Senior Software Engineer at Netenrich
Significant email security benefits combined with efficient spam filtering, yet cost hinders long-term use
The integration with our on-prem Exchange was very straightforward; the only thing we did was redirect all email traffic over Proofpoint, so Proofpoint did everything independently, and we were very happy. I am still receiving emails from Proofpoint's site. Not using it at the moment, but in the short term we will be tackling that portion of the product as well. We cannot provide feedback regarding Dynamics because we are not experienced enough at the moment; we have initiatives going on but did not get enough feedback from end users. Based on my overall experience with Proofpoint, considering the cost perspective, I would rate it a 7 out of 10.

Quotes from Members

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

Pros

"DataRobot is highly automated, allowing data scientists to build models easily."
"We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."
"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."
"Tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours."
"DataRobot can be easy to use."
"It's easy to do MLOps operations. It's a lot easier to manage jobs and see the logs if there's any drift in a model."
"The documentation is excellent, and it includes a developer portal, which helps create a common distribution channel for APIs within and outside the enterprise."
"Technical support from Proofpoint was absolutely excellent."
"Kong Konnect has positively impacted my organization by making our development easier and helping us push new routes to our current customers."
"Kong Konnect has positively impacted our organization by securing our APIs, which is one of the main concerns for us, and securing our APIs has benefited our organization by improving compliance and reducing incidents."
"Their tech support is excellent; when I raise an incident or a support ticket, it gets answered in four hours."
 

Cons

"There are some performance issues."
"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum."
"If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."
"DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality."
"There is a lack of transparency in the models; sometimes it feels like a black box."
"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."
"I wish Kong Konnect could improve by having a built-in notification system whenever any APIs get pinged so that we can receive alerts and send them to the developer."
"Kong Konnect's RBAC needs to evolve more, as they currently offer only one or two levels of RBAC in terms of organization and teams."
"When comparing documentation, Kong's documentation is not on par with Google, Amazon, or other cloud providers."
"Kong Konnect needs improvement in the UI."
"Pricing was the issue as it becomes very expensive due to the nature of local circumstances."
 

Pricing and Cost Advice

"The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available."
"We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."
Information not available
report
Use our free recommendation engine to learn which AI Observability solutions are best for your needs.
881,114 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
12%
Computer Software Company
10%
Retailer
8%
Financial Services Firm
17%
Outsourcing Company
14%
Computer Software Company
11%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for DataRobot?
While pricing falls more under my IT colleagues, from my perspective, the overall experience feels justified. The premium pricing is reasonable for the value provided, and I'd say it's worth the in...
What needs improvement with DataRobot?
Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black ...
What is your primary use case for DataRobot?
My main use case for DataRobot is to perform predictive analysis and automation of machine learning workflows. I use it to quickly build, test, and deploy models without extensive coding. One of th...
What is your experience regarding pricing and costs for Kong Konnect?
My experience with pricing, setup cost, and licensing indicates that licensing is a bit high in comparison.
What needs improvement with Kong Konnect?
I wish Kong Konnect could improve by having a built-in notification system whenever any APIs get pinged so that we can receive alerts and send them to the developer.
What is your primary use case for Kong Konnect?
I use Kong Konnect most often as a current gateway. A specific example of how I use Kong Konnect as a current gateway involves onboarding microservices into Kong Konnect where we pass the host map ...
 

Overview

 

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Information Not Available
Find out what your peers are saying about DataRobot vs. Kong Konnect and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.