

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.
When I use different Check Point tools, I save support time overall.
The value is in the capacity to protect against problems or attacks with technology, developing and strengthening cybersecurity policies and administration.
I would say we can save about 90% of our budget with Check Point Infinity.
Atlan has a better approach compared to Data Hub.
Data Hub centralizes data cataloging and classification, saving us from having to disclose PII column information to teams not utilizing it.
It is very helpful in building data quality for the company, leading to approximately thirty percent improvement in efficiency.
As soon as we raise a ticket, they engage promptly, indicating strong vendor support.
The technical support is excellent with quick response times.
Check Point support is very responsive.
When I was working with Atlan, and needed support, they were very good at attending to my requests directly.
Customer support for Data Hub is quite good.
Customer support for Data Hub is very genuine, and they are responsive and attentive.
The Infinity Portal lets us manage on-premises, cloud and edge environments from a single elastic console.
We have not faced any issues with scalability.
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.
We have successfully onboarded over 1000 datasets from various sources without any issues.
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.
Data Hub's scalability is very easy, as we were able to add users and new datasets very quickly and smoothly.
Check Point Infinity is a very stable solution; I don't remember experiencing any downtime.
Check Point Infinity is very stable for our company.
Check Point Infinity has achieved a 99.9% block rate on zero-day malware in the 2025 Miercom test.
Since I've been using Data Hub, it has always been very stable; I can say it was one hundred percent stable.
When I used Data Hub, I did not experience any lagging, crashing, or downtime.
Data Hub is stable in my experience.
A more guided setup process or contextual help within the dashboard would make it easier for new team members to get up to speed.
I would recommend having more comprehensive documentation, including a guide for installation and configuration of Check Point Infinity.
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.
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.
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.
I wonder if it can automate the classification exercise, possibly using AI to auto-classify PII direct and indirect items.
In terms of pricing, I find Check Point Infinity to be an expensive product.
The setup cost or license is very high.
We received a relative discount for this.
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.
It costs about zero since, if we win the setup, it probably results in no cost.
Check Point uses robust AI software to detect and recognize all cyber-attacks, giving me the ability to prevent these attacks.
Check Point Infinity has positively impacted my organization by making everything better, including the speed of the network and the security.
We have seen a faster response time and reduced effort from the network and security engineers while going through logs.
Data Hub became a single source of truth for metadata, supporting both compliance requirements and day-to-day operational needs.
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.
Having a tool that shows the data lineage from the source until the target tables helps us a lot.
| Product | Mindshare (%) |
|---|---|
| Check Point Infinity | 0.9% |
| Data Hub | 0.6% |
| Other | 98.5% |


| Company Size | Count |
|---|---|
| Small Business | 40 |
| Midsize Enterprise | 9 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 7 |
| Large Enterprise | 14 |
Check Point Infinity offers unified security management, integrating with Active Directory for a streamlined experience. It centralizes network, endpoint, and cloud security, enhancing efficiency and visibility while employing AI-driven threat prevention.
Check Point Infinity simplifies operations with its unified console, providing seamless integration across enterprise environments. With ThreatCloud AI, real-time analytics, and automation, Infinity enables proactive threat prevention and policy enforcement, strengthening security and reducing manual workloads. However, performance issues, a steep learning curve, and complex setup are challenges users may face. Its interface demands a detailed onboarding process, and while centralization improves threat prevention and policy consistency, the platform has complex licensing and costly implementation, especially for large organizations.
What are the most notable features?In industries like finance, healthcare, and telecommunications, Check Point Infinity is implemented to protect critical infrastructure from advanced cyber threats. Organizations utilize its centralized dashboard for firewall management and comprehensive threat detection, ensuring compliance and data security.
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 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.
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