

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.
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.
HackerOne provides strong value by helping organizations find vulnerabilities faster and reduce the higher costs associated with security breaches.
We receive rewards without needing to invest any money, so the return on investment is substantial.
For someone who is starting or in the middle, it is very difficult because you can spend 20 hours sending 20 reports but none of them gets anything.
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.
We have priority support because we are a higher tier, and with high report volumes, the turnaround time is very good.
Technical support at HackerOne has slowed down considerably compared to four years ago.
The ease of collaboration with ethical hackers on HackerOne has been quite good.
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.
It is a large platform with many programs and clients.
HackerOne is very scalable because we can put bounties for any number of hackers at the same time and test thoroughly.
It maintains a high signal-to-noise ratio and addresses scalability through infrastructure, triage services, and AI automation.
Since I've been using Data Hub, it has always been very stable; I can say it was one hundred percent stable.
It is quite reliable and on par with what is created using the Oracle database.
When I used Data Hub, I did not experience any lagging, crashing, or downtime.
HackerOne was down for some time and the response was not good.
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.
More advanced AI capabilities would help prioritize reports, reduce false positives, and speed up the validation.
There are no clear guidelines for being invited to programs and conferences.
Sometimes new users don't receive invites just because they are new, despite potentially being very skilled hackers, so I feel new users should get more chances and opportunities.
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.
The cost is rated as one since there is no need to pay anything, not even a fee or commission.
I have not experienced any costs since I use HackerOne independently, just logging into the site, hunting bugs, and submitting them without any expenses.
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.
It has a very simple user interface, and it gives you a quick response—if you submit a bug, someone reaches out to you within minutes, telling you they will verify the bug, and it can be verified in just a few days, sometimes even less than a day, which stands out for me.
HackerOne is a very good platform with the trust of different companies including Shopify, PayPal, and Uber.
I find bug bounty programs most valuable for our organization because they invite researchers from around the globe to find bugs in our environment, allowing us to fix various severity vulnerabilities or bugs that, if left unaddressed, could lead to losing customers.
| Product | Mindshare (%) |
|---|---|
| Data Hub | 0.6% |
| HackerOne | 0.7% |
| Other | 98.7% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 7 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
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.
HackerOne is an industry leader in offensive security, enabling companies to identify and resolve vulnerabilities using AI and a global community of researchers. Trusted by top organizations, HackerOne enhances the software development lifecycle with comprehensive security testing.
HackerOne combines artificial intelligence with a diverse community of skilled security researchers to fortify digital ecosystems. Offering bug bounty programs, vulnerability disclosure, pentesting, and AI red teaming, HackerOne supports renowned clients like General Motors, GitHub, and the U.S. Department of Defense. Its intuitive platform simplifies vulnerability reporting and tracking, providing seamless integration with third-party tools. HackerOne's role in protecting company assets is underlined by notable accolades, achieving recognition as a Best Workplace for Innovators and a coveted spot as a Most Loved Workplace for Young Professionals.
What key features does HackerOne offer?HackerOne is widely utilized across industries for comprehensive security testing and vulnerability management. By allowing companies to coordinate with ethical hackers, they effectively address security flaws in websites and applications. This coordination aids in regulatory compliance, protects customer trust, and serves as a central communication medium for enhancing security postures.
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