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Calico Cloud vs Data Hub 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
8.6
Calico Cloud offers ROI through enhanced security, cost savings, and efficiency, despite higher licensing costs than open-source alternatives.
Sentiment score
3.0
Data Hub reduces errors, saves time in incident management, improves Power BI troubleshooting, and centralizes data cataloging and classification.
We are able to reduce the number of times needed for debugging through the service graph and the recommendations for the micro-segmentation of their security tool, helping us identify necessary network policies.
DevOps Engineer at Heckerbella
Calico Cloud not only secures our network infrastructure but also assures that we are not incurring costs due to breaches, which is a significant factor in the ROI.
DevOps Engineer at Exponential Craft
It has reduced the time spent troubleshooting network connectivity issues, improved visibility into Kubernetes traffic, and helped us enforce consistent security policies across clusters.
Senior Systems Engineer at a tech vendor with 10,001+ employees
Atlan has a better approach compared to Data Hub.
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.
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.
Finance Feedback Committee at MB Shinsei Finance Limited Liability Company
 

Customer Service

Sentiment score
7.7
Calico Cloud's customer service is effective with responsive support and good documentation, rarely necessitating direct assistance.
Sentiment score
3.8
Data Hub's customer support is responsive and effective, utilizing Slack, webinars, and documentation for timely and genuine assistance.
Customer support is very good, and they have responded to us whenever we have encountered issues with the product.
Senior Systems Engineer at a tech vendor with 10,001+ employees
Calico Cloud is quite a usable product.
DevOps Engineer at Heckerbella
I believe the relationship between vendors and our management team was effective.
DevOps Engineer at Exponential Craft
When I was working with Atlan, and needed support, they were very good at attending to my requests directly.
Data Quality Engineer at truelogic
Customer support for Data Hub is quite good.
Manager - Projects at Cognizant
Customer support for Data Hub is very genuine, and they are responsive and attentive.
Senior Software Engineer 2 at Porch
 

Scalability Issues

Sentiment score
8.3
Calico Cloud is praised for its scalability, maintaining efficient operations and security across diverse Kubernetes environments without issues.
Sentiment score
5.5
Data Hub scales efficiently, seamlessly managing growing users and datasets while integrating diverse sources for expansive organizational growth.
We have not had issues with scalability.
DevOps Engineer at Heckerbella
It has over the years demonstrated its scalability and the adoption of products across the industry.
DevOps Engineer at Exponential Craft
Calico Cloud has scaled well with our Kubernetes environment and has many capabilities that make it easier to apply consistent security policies across multiple clusters.
Senior Systems Engineer at a tech vendor with 10,001+ employees
We have successfully onboarded over 1000 datasets from various sources without any issues.
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.
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.
Data Quality Engineer at truelogic
 

Stability Issues

Sentiment score
8.5
Calico Cloud is praised for its consistent stability and reliability, showing robust performance across diverse implementations.
Sentiment score
8.0
Data Hub is praised for exceptional stability and reliability, with minimal downtime during upgrades, ensuring consistent performance.
Since I've been using Data Hub, it has always been very stable; I can say it was one hundred percent stable.
Data Quality Engineer at truelogic
When I used Data Hub, I did not experience any lagging, crashing, or downtime.
Senior Data Engineer at a tech services company with 1-10 employees
Data Hub is stable in my experience.
Software Engineer L2 at a tech vendor with 5,001-10,000 employees
 

Room For Improvement

Calico Cloud needs security, documentation, AI features, cost reductions, and real-time analysis improvements to boost user adoption.
Data Hub needs better data quality, integration, automation, user experience, and analytics to simplify features for all users.
Adding a speech feature on top of it, such as a summarization of what has actually happened, would be useful for troubleshooting faster.
DevOps Engineer at Heckerbella
Having a searchable summary feature, such as a chatbot, could help users quickly resolve issues without having to read extensive documentation.
DevOps Engineer at Exponential Craft
The pricing, implementation cost, and licensing of Calico Cloud could be reduced.
Cloud Architect at a tech vendor with 10,001+ employees
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.
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.
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.
Director at a university with 1-10 employees
 

Valuable Features

Calico Cloud offers zero-trust micro-segmentation, enhanced security, and ease of use for Kubernetes clusters, improving operational efficiency.
Data Hub enhances data discoverability, governance, and collaboration with features like tagging, scalability, and seamless tool integration for actionable insights.
You create policies to prevent someone from logging into a particular container, and since it has its native container security interface, this helps protect against unauthorized access or damage in the cloud.
DevOps Engineer at Exponential Craft
Calico Cloud is a portable tool that can work with different types of Kubernetes clusters, it greatly facilitates deployment in different projects.
Cloud Architect at a tech vendor with 10,001+ employees
Overall, it has helped our platform and DevOps team deploy changes with greater confidence, respond to incidents more quickly, and maintain a more secure and reliable Kubernetes environment.
Senior Systems Engineer at a tech vendor with 10,001+ employees
Data Hub became a single source of truth for metadata, supporting both compliance requirements and day-to-day operational needs.
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.
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.
Data Quality Engineer at truelogic
 

Categories and Ranking

Calico Cloud
Ranking in AI Observability
30th
Average Rating
7.8
Reviews Sentiment
7.6
Number of Reviews
4
Ranking in other categories
Container Security (36th), Cloud-Native Application Protection Platforms (CNAPP) (21st)
Data Hub
Ranking in AI Observability
7th
Average Rating
8.2
Reviews Sentiment
4.8
Number of Reviews
20
Ranking in other categories
Metadata Management (4th)
 

Mindshare comparison

As of July 2026, in the AI Observability category, the mindshare of Calico Cloud is 0.5%, up from 0.1% compared to the previous year. The mindshare of Data Hub is 0.6%. It is calculated based on PeerSpot user engagement data.
AI Observability Mindshare Distribution
ProductMindshare (%)
Data Hub0.6%
Calico Cloud0.5%
Other98.9%
AI Observability
 

Featured Reviews

Olakunle Obasoro - PeerSpot reviewer
DevOps Engineer at Exponential Craft
Security posture has become visible and container risks are managed proactively
Regarding improvements for Calico Cloud, there is a need to build agentic security systems. I believe Calico Cloud is progressing towards this, and I believe they can enhance their teaching methods to facilitate adoption. Documentation needs continuous improvement. It is good and easy to read, but it can get better. Having a searchable summary feature, such as a chatbot, could help users quickly resolve issues without having to read extensive documentation. At the moment, I do not believe there are more improvements needed, but as mentioned earlier, there should be a focus on better documentation, possibly by embedding chatbot features that could respond to user prompts effectively.
Akashkhurana Hirana - PeerSpot reviewer
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.
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
17%
Outsourcing Company
12%
Wholesaler/Distributor
9%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise7
Large Enterprise14
 

Questions from the Community

What is your experience regarding pricing and costs for Calico Cloud?
My experience with pricing, setup cost, and licensing for Calico Cloud was determined by management who evaluated the costs related to potential breaches. They decided that the cost of implementing...
What needs improvement with Calico Cloud?
Regarding improvements for Calico Cloud, there is a need to build agentic security systems. I believe Calico Cloud is progressing towards this, and I believe they can enhance their teaching methods...
What is your primary use case for Calico Cloud?
I have been using Calico Cloud between 2022 to 2024. I worked on a project focused on security and vulnerability scanning within our containers. Calico Cloud was implemented because the company wan...
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...
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...
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...
 

Also Known As

No data available
Acryl Data
 

Overview

Find out what your peers are saying about Calico Cloud vs. Data Hub and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.