Data Hub vs Kong Konnect comparison

DataHub and Kong are both solutions in the AI Observability category. DataHub is ranked #7 with an average rating of 8.3, while Kong is ranked #14 with an average rating of 8.7. DataHub holds a 0.6% mindshare in AO, compared to Kong’s 0.6% mindshare. Additionally, 100% of DataHub users are willing to recommend the solution, compared to 100% of Kong users who would recommend it.

Data Hub

Read 20 Data Hub reviews

1,592 Views
557 Comparison Views

100% willing to recommend

Kong Konnect

Read 9 Kong Konnect reviews

2,028 Views
507 Comparison Views

100% willing to recommend

Data Hub

Kong Konnect

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Data Hub and Kong Konnect based on real PeerSpot user reviews.

Find out in this report how the two AI Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Data Hub vs. Kong Konnect Report (Updated: June 2026).

Buyer's Guide

Data Hub vs. Kong Konnect

June 2026

Download the complete report

Helped 902,894 peers since 2012

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

3.0

Data Hub reduces errors, saves time in incident management, improves Power BI troubleshooting, and centralizes data cataloging and classification.

Sentiment score

6.3

Kong Konnect reduced debugging by 30%, improved API performance, enhanced security, and cut costs through efficient team management.

Atlan has a better approach compared to Data Hub.

Henrique dos Anjos

Data Quality Engineer at truelogic

Data Hub centralizes data cataloging and classification, saving us from having to disclose PII column information to teams not utilizing it.

PrashantGupta2

Software Engineer L2 at a tech vendor with 5,001-10,000 employees

It is very helpful in building data quality for the company, leading to approximately thirty percent improvement in efficiency.

Anhnq Ho

Finance Feedback Committee at MB Shinsei Finance Limited Liability Company

For more quotes and insights, download the Data Hub report

Time saved is a relevant metric; it used to take us a week, but now it takes us only a day.

reviewer2795847

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.

Rajeshk Kumar Nayak

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.

Andrew Kew

CTO at Keogh Innovation

For more quotes and insights, download the Kong Konnect report

Customer Service

Sentiment score

3.8

Data Hub's customer support is responsive and effective, utilizing Slack, webinars, and documentation for timely and genuine assistance.

Sentiment score

7.8

Kong Konnect offers responsive 24/7 customer support with quick resolutions, tiered services, and community assistance enhancing user experience.

When I was working with Atlan, and needed support, they were very good at attending to my requests directly.

Henrique dos Anjos

Data Quality Engineer at truelogic

Customer support for Data Hub is quite good.

Shubham-Agarwal

Manager - Projects at Cognizant

Customer support for Data Hub is very genuine, and they are responsive and attentive.

Akashkhurana Hirana

Senior Software Engineer 2 at Porch

For more quotes and insights, download the Data Hub report

Technical support from Proofpoint was absolutely excellent.

Shahnawaz_Alam

Senior Software Engineer at Netenrich

When I raise an incident or a support ticket, it gets answered in four hours.

ShubhojitDasgupta

API Technical Architect at Independent API Consultant

They offer twenty-four-hour support with SLA-based response times.

Rajeshk Kumar Nayak

Solution Architect at Dhanyaayai enterprise private limited

For more quotes and insights, download the Kong Konnect report

Scalability Issues

Sentiment score

5.5

Data Hub scales efficiently, seamlessly managing growing users and datasets while integrating diverse sources for expansive organizational growth.

Sentiment score

7.8

Kong Konnect offers high scalability and flexibility for microservices, supporting auto-scaling and diverse deployments on cloud platforms.

We have successfully onboarded over 1000 datasets from various sources without any issues.

Akashkhurana Hirana

Senior Software Engineer 2 at Porch

Data Hub's scalability is advantageous, as we onboard data from over one hundred fifty tables in SQL Server to Snowflake, and adding new tables to Data Hub is not time-consuming.

Shubham-Agarwal

Manager - Projects at Cognizant

Data Hub's scalability is very easy, as we were able to add users and new datasets very quickly and smoothly.

Henrique dos Anjos

Data Quality Engineer at truelogic

For more quotes and insights, download the Data Hub report

The platform is fully scalable, providing various ways to manage data planes or runtimes.

Siddharth-Shanakr

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.

Rajeshk Kumar Nayak

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.

Andrew Kew

CTO at Keogh Innovation

For more quotes and insights, download the Kong Konnect report

Stability Issues

Sentiment score

8.0

Data Hub is praised for exceptional stability and reliability, with minimal downtime during upgrades, ensuring consistent performance.

Sentiment score

8.0

Kong Konnect efficiently manages heavy API loads with reliable routing, stable data planes, and minimal control plane issues.

Since I've been using Data Hub, it has always been very stable; I can say it was one hundred percent stable.

Henrique dos Anjos

Data Quality Engineer at truelogic

When I used Data Hub, I did not experience any lagging, crashing, or downtime.

Igor Uchoa

Senior Data Engineer at a tech services company with 1-10 employees

Data Hub is stable in my experience.

PrashantGupta2

Software Engineer L2 at a tech vendor with 5,001-10,000 employees

For more quotes and insights, download the Data Hub report

It was very fast, and we did not experience any interruptions.

Shahnawaz_Alam

Senior Software Engineer at Netenrich

Kong Konnect is very stable with no issues regarding reliability in my experience.

Rajeshk Kumar Nayak

Solution Architect at Dhanyaayai enterprise private limited

I've seen them run at major scale in large companies across the whole of Europe.

Andrew Kew

CTO at Keogh Innovation

For more quotes and insights, download the Kong Konnect report

Room For Improvement

Data Hub needs better data quality, integration, automation, user experience, and analytics to simplify features for all users.

Kong Konnect needs better debugging, clearer documentation, simpler configuration, enhanced CI/CD integration, improved RBAC support, and a simplified pricing model.

Providing consulting or support with professionals who are qualified to use Data Hub would be interesting, along with providing training and certifications for the tool so that those who are implementing it can specialize increasingly in its features.

Henrique dos Anjos

Data Quality Engineer at truelogic

The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, and manage data in general.

reviewer2784462

Software Engineer at a tech vendor with 10,001+ employees

I wonder if it can automate the classification exercise, possibly using AI to auto-classify PII direct and indirect items.

Azhagarasan Annadorai

Director at a university with 1-10 employees

For more quotes and insights, download the Data Hub report

The licensing model could be simplified, especially in how they charge and track usage.

Siddharth-Shanakr

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.

ShubhojitDasgupta

API Technical Architect at Independent API Consultant

Token integration presents challenges and has implementation complexities that need addressing.

Rajeshk Kumar Nayak

Solution Architect at Dhanyaayai enterprise private limited

For more quotes and insights, download the Kong Konnect report

Setup Cost

Enterprise buyers prefer direct vendor purchases for Kong Konnect licenses due to cloud marketplace limitations and varying pricing perceptions.

Regarding experience with pricing, setup cost, and licensing, I think if we have a budget of one hundred thousand US dollars, we will be able to deploy a reasonable version and connect to a number of data sources.

Azhagarasan Annadorai

Director at a university with 1-10 employees

It costs about zero since, if we win the setup, it probably results in no cost.

Anhnq Ho

Finance Feedback Committee at MB Shinsei Finance Limited Liability Company

For more quotes and insights, download the Data Hub report

Pricing was the issue as it becomes very expensive due to the nature of local circumstances.

Shahnawaz_Alam

Senior Software Engineer at Netenrich

I wouldn't say that the setup cost is much more compared to using any other product.

Andrew Kew

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.

Siddharth-Shanakr

IT Soulutoin Expert at a tech vendor with 10,001+ employees

For more quotes and insights, download the Kong Konnect report

Valuable Features

Data Hub enhances data discoverability, governance, and collaboration with features like tagging, scalability, and seamless tool integration for actionable insights.

Kong Konnect offers centralized API management with robust analytics, enhanced security features, scalability, and improved developer productivity.

Data Hub became a single source of truth for metadata, supporting both compliance requirements and day-to-day operational needs.

reviewer2784462

Software Engineer at a tech vendor with 10,001+ employees

Data Hub has positively impacted our organization by bringing the tribal knowledge that resides with team members into a single place where users can discover and understand the data elements before they make use of it.

Azhagarasan Annadorai

Director at a university with 1-10 employees

Having a tool that shows the data lineage from the source until the target tables helps us a lot.

Henrique dos Anjos

Data Quality Engineer at truelogic

For more quotes and insights, download the Data Hub report

The documentation is excellent, and it includes a developer portal, which helps create a common distribution channel for APIs within and outside the enterprise.

Siddharth-Shanakr

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.

reviewer2795847

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.

Rajeshk Kumar Nayak

Solution Architect at Dhanyaayai enterprise private limited

For more quotes and insights, download the Kong Konnect report

Categories and Ranking

Data Hub

Ranking in AI Observability

7th

Average Rating

8.2

Reviews Sentiment

4.8

Number of Reviews

Ranking in other categories

Metadata Management (4th)

Kong Konnect

Ranking in AI Observability

14th

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

API Management (13th)

Mindshare comparison

As of July 2026, in the AI Observability category, the mindshare of Data Hub is 0.6%. The mindshare of Kong Konnect is 0.6%. It is calculated based on PeerSpot user engagement data.

AI Observability Mindshare Distribution
Product	Mindshare (%)
Data Hub	0.6%
Kong Konnect	0.6%
Other	98.8%

AI Observability

Featured Reviews

Akashkhurana Hirana

Senior Software Engineer 2 at Porch

Metadata management has streamlined lineage tracking and data discovery for our teams

The best features Data Hub offers include its integration capability with many popular tools like Apache Airflow, Snowflake, dbt, Looker, Apache Kafka, and BigQuery. These tools provide us with data in various places, and we commonly use Apache Airflow for the DAG, while utilizing BigQuery as our database and Apache Kafka for consuming messaging queues. Data Hub easily connects with all these tools and features excellent data discovery and visualization capabilities. We can see data visibility, where it comes from, its upstream and downstream relationships. If we remove a column, we can assess the impact of that change. Furthermore, if there are duplicate datasets being used by different teams that do not communicate regularly, onboarding all data to Data Hub allows us to identify these duplicates easily. Out of all those features, I believe data discovery and impact analysis are the most valuable for my team because when we want to add or drop a column, we can assess the impact analysis to understand the downstream effects. This helps us know who owns a dataset, and we can easily contact the owner. Tracking the data lineage back to the source table is also a key benefit. Data Hub has positively impacted my organization by significantly reducing manual work that was previously needed to identify upstream and downstream data relationships, as well as recognizing duplicate datasets. If a data contract is broken, we now easily get notified of those issues, making the process much easier and more efficient. It is particularly useful for data engineers and platform teams to check for problems directly within Data Hub. Data Hub has saved our team a lot of time. For example, in a large company like Porch, if I want to know whether a specific dataset exists, I can check Data Hub, as it serves as a centralized point for managing the metadata of our data. While it does not contain all data, it does contain the metadata necessary for understanding the dataset's origin. If a dataset does not exist, I can simply see who the owner is and reach out to them, which reduces the dependency on others by providing direct access to information in Data Hub.

Read full review

Andrew Kew

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

Financial Services Firm

17%

Outsourcing Company

12%

Wholesaler/Distributor

Manufacturing Company

Financial Services Firm

15%

Outsourcing Company

13%

Manufacturing Company

13%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	7
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	2
Large Enterprise	3

Questions from the Community

What needs improvement with Data Hub?

I think Data Hub can be improved by supporting the open source version better. Many features have moved to the paid version now, making it difficult for small-scale companies to operate on Data Hub...

See all answers

What is your primary use case for Data Hub?

My main use case for Data Hub is that we use it as a library for all the data assets that we generate. It serves as an internal data mart where people can search for whatever data they need, and th...

See all answers

What advice do you have for others considering Data Hub?

Data Hub does most of the job it is designed to do, but there could still be improvement as the industry progresses, particularly around metadata discovery. Regarding Data Hub's AI capabilities, it...

See all answers

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...

See all answers

What needs improvement with Kong Konnect?

See all answers

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 ...

See all answers

Comparisons

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Compared 37% of the time

Alation Data Catalog vs Data Hub

Compared 37% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Data Hub

Compared 19% of the time

Datadog vs Data Hub

Compared 6% of the time

More Data Hub Competitors

Kong Gateway Enterprise vs Kong Konnect

Compared 30% of the time

WSO2 API Manager vs Kong Konnect

Compared 15% of the time

Apache APISIX vs Kong Konnect

Compared 10% of the time

Amazon API Gateway vs Kong Konnect

Compared 10% of the time

Traefik Enterprise vs Kong Konnect

Compared 8% of the time

More Kong Konnect Competitors

Product Reports

Buyer's Guide

Data Hub

June 2026

Download Data Hub product report

Buyer's Guide

Kong Konnect

June 2026

Download Kong Konnect product report

Also Known As

Acryl Data

No data available

Overview

Data Hub is an advanced platform designed to streamline data management processes, enhance data accessibility, and provide comprehensive analytics capabilities for informed decision-making.

Data Hub offers a unified approach to handling large-scale datasets, empowering organizations to effectively manage, analyze, and extract insights from their data infrastructure. It provides robust features for data integration, storage, and visualization, supporting diverse business needs and driving data-driven strategies.

What are the key features of Data Hub?

Data Integration: Seamlessly combines data from multiple sources for cohesive analysis.
Scalability: Supports growing data needs without performance degradation.
Analytics Tools: Enables advanced data processing and insightful reporting.
Security: Robust security protocols to ensure data compliance and protection.
Custom Dashboards: Offers customizable interfaces for tailored analytics displays.

What benefits do users experience with Data Hub?

Increased Efficiency: Streamlines data processes, reducing time and resource spent.
Cost-Effectiveness: Minimizes need for multiple data management tools.
Improved Decision Making: Provides actionable insights through data analytics.
Enhanced Collaboration: Facilitates data sharing across departments, encouraging teamwork.

Data Hub is implemented across industries such as finance, healthcare, and retail, providing tailored solutions that meet specific demands in areas like customer data analysis, patient record management, and inventory tracking. Its ability to adapt to sector-specific requirements makes it a versatile choice for businesses seeking enhanced data capabilities.

DataHub

Kong Konnect facilitates efficient management and integration of APIs, providing a streamlined experience for developers to manage their services with high scalability.

Kong Konnect is a comprehensive platform tailored for API development and management. It offers an intuitive interface that simplifies the process of connecting, managing, and securing APIs. Organizations benefit from its scalable architecture, ensuring it meets diverse operational demands and optimizes service delivery, supporting a robust API ecosystem that aligns with modern development practices.

What are the key features of Kong Konnect?

API Gateway: Efficiently handles routing, transformations, and more for effective API management.
Security Management: Includes authentication and traffic control to protect data.
Analytics and Monitoring: Provides insights into API usage and performance metrics.
Developer Portals: Offers customizable portals for developer engagement and onboarding.
Plugin Architecture: Extends functionality through a rich library of plugins.

What benefits or ROI should users expect?

Cost Efficiency: Reduces operational costs through streamlined API processes.
Scalability: Easily adapts to increased API traffic without performance losses.
Improved Security: Enhances data protection through advanced security features.
Enhanced Developer Productivity: Accelerates development timelines with easy-to-use tools.
Better User Engagement: Improves collaboration through robust developer support.

In tech industries, Kong Konnect is often implemented to advance cloud-native applications by enhancing API connectivity and security. Financial services utilize it to ensure compliance and secure data sharing. Telecommunications deploy it to handle high data throughput efficiently.

Kong

Buyer's Guide

Data Hub vs. Kong Konnect

June 2026

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