No more typing reviews! Try our Samantha, our new voice AI agent.

Check Point Infinity 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
5.8
Check Point Infinity enhances security and ROI with streamlined management, remote connectivity, and justified pricing for Portuguese businesses.
Sentiment score
3.0
Data Hub reduces errors, saves time in incident management, improves Power BI troubleshooting, and centralizes data cataloging and classification.
When I use different Check Point tools, I save support time overall.
IT at a security firm with 51-200 employees
The value is in the capacity to protect against problems or attacks with technology, developing and strengthening cybersecurity policies and administration.
PM at SECURE SOFT
I would say we can save about 90% of our budget with Check Point Infinity.
Advisor at Rossell Techsys (Division of Rossell India Limited)
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
6.2
Check Point Infinity's customer service is praised for responsiveness and knowledge, but some users experience delays and slow ticket processes.
Sentiment score
3.8
Data Hub's customer support is responsive and effective, utilizing Slack, webinars, and documentation for timely and genuine assistance.
As soon as we raise a ticket, they engage promptly, indicating strong vendor support.
Network Engineer at Insa
The technical support is excellent with quick response times.
PM at SECURE SOFT
Check Point support is very responsive.
Advisor at Rossell Techsys (Division of Rossell India Limited)
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
7.6
Check Point Infinity offers scalable flexibility, efficiently managing growth and diverse requirements for businesses of all sizes and capacities.
Sentiment score
5.5
Data Hub scales efficiently, seamlessly managing growing users and datasets while integrating diverse sources for expansive organizational growth.
The Infinity Portal lets us manage on-premises, cloud and edge environments from a single elastic console.
Network Security Engineer at Arrow PC Network Pvt Ltd
We have not faced any issues with scalability.
Team Lead, Network & Security at Max international
Check Point Infinity is scalable because Check Point has a deployment ecosystem with technical support and the quality of the final information from these tools.
PM at SECURE SOFT
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
Check Point Infinity is highly rated for stability, with mature components and minimal issues, often scoring 8-10 out of 10.
Sentiment score
8.0
Data Hub is praised for exceptional stability and reliability, with minimal downtime during upgrades, ensuring consistent performance.
Check Point Infinity is a very stable solution; I don't remember experiencing any downtime.
Private User at a educational organization with 5,001-10,000 employees
Check Point Infinity is very stable for our company.
IT Support at a security firm with 51-200 employees
Check Point Infinity has achieved a 99.9% block rate on zero-day malware in the 2025 Miercom test.
Network Security Engineer at Arrow PC Network Pvt Ltd
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

Check Point Infinity suffers from slow support, high costs, unclear documentation, confusing licensing, and a cumbersome user experience.
Data Hub needs better data quality, integration, automation, user experience, and analytics to simplify features for all users.
A more guided setup process or contextual help within the dashboard would make it easier for new team members to get up to speed.
Cloud Support at a security firm with 51-200 employees
I would recommend having more comprehensive documentation, including a guide for installation and configuration of Check Point Infinity.
Network Engineer at Insa
I would improve Check Point Infinity by embedding some sort of analytics that indicates which attacks are coming from specific IP addresses very often so that we can block those IP addresses.
Advisor at Rossell Techsys (Division of Rossell India Limited)
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
 

Setup Cost

Enterprises have mixed views on Check Point Infinity's pricing, appreciating flexibility but finding costs high for certain features.
In terms of pricing, I find Check Point Infinity to be an expensive product.
Advisor at Rossell Techsys (Division of Rossell India Limited)
The setup cost or license is very high.
Cloud Support at a security firm with 51-200 employees
We received a relative discount for this.
Team Lead, Network & Security at Max international
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.
Director at a university with 1-10 employees
It costs about zero since, if we win the setup, it probably results in no cost.
Finance Feedback Committee at MB Shinsei Finance Limited Liability Company
 

Valuable Features

Check Point Infinity provides centralized security management with AI-driven threat prevention, enhancing efficiency and reducing complexity across platforms.
Data Hub enhances data discoverability, governance, and collaboration with features like tagging, scalability, and seamless tool integration for actionable insights.
Check Point uses robust AI software to detect and recognize all cyber-attacks, giving me the ability to prevent these attacks.
PM at SECURE SOFT
Check Point Infinity has positively impacted my organization by making everything better, including the speed of the network and the security.
Private User at a educational organization with 5,001-10,000 employees
We have seen a faster response time and reduced effort from the network and security engineers while going through logs.
Team Lead, Network & Security at Max international
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

Check Point Infinity
Ranking in AI Observability
5th
Average Rating
8.8
Reviews Sentiment
6.9
Number of Reviews
39
Ranking in other categories
Advanced Threat Protection (ATP) (10th), AI-Powered Cybersecurity Platforms (8th), AI Security (5th)
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 Check Point Infinity is 0.9%, up from 0.0% 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 (%)
Check Point Infinity0.9%
Data Hub0.6%
Other98.5%
AI Observability
 

Featured Reviews

Chetan Bhati - PeerSpot reviewer
Network Security Engineer at Arrow PC Network Pvt Ltd
Improves daily threat prevention with real-time detection and requires better alert tuning for faster prioritization
Check Point Infinity is powerful, but there are a few areas that could improve. The learning curve for new users can be steep, especially when managing multiple modules like CloudGuard, Quantum, and Harmony together. Some alerts can be overwhelming, making it harder to prioritize without fine-tuning. While automation helps, occasional manual adjustments are still needed. Overall, it is strong, but simplifying onboarding and alert management would make it even better. Integration with third-party tools could be smoother. The reporting dashboard could be more customizable for quick insights. Performance on very large networks can sometimes slow during updates. Overall, while the platform is strong, improving user experience, alert management, and integration would make it even more efficient for daily operations.
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.
report
Use our free recommendation engine to learn which AI Observability solutions are best for your needs.
902,894 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Security Firm
15%
Manufacturing Company
13%
Financial Services Firm
13%
Construction Company
9%
Financial Services Firm
17%
Outsourcing Company
12%
Wholesaler/Distributor
9%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business40
Midsize Enterprise9
Large Enterprise10
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise7
Large Enterprise14
 

Questions from the Community

What needs improvement with Check Point Infinity?
Check Point Infinity could be improved with more intuitive documentation.
What is your primary use case for Check Point Infinity?
Check Point Infinity is used primarily for consolidating security across networks, including cloud and on-premise, and endpoints under one architecture. It is relied upon most for unified threat pr...
What advice do you have for others considering Check Point Infinity?
Check Point Infinity offers easy management, a centralized security tool, and excellent pricing. The review rating for Check Point Infinity is 9 out of 10.
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

R80, Infinity
Acryl Data
 

Overview

 

Sample Customers

Edel AG
Information Not Available
Find out what your peers are saying about Check Point Infinity vs. Data Hub and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.