

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.
By catching issues early, Rapid7 InsightCloudSec helps us prevent costly breaches or regulatory fines; for example, automating patching and misconfiguration audits can save thousands in operational overhead.
It provides a good security posture and helps handle misconfigurations and day-to-day remediations.
I can confirm money and time savings with Rapid7 InsightCloudSec, as we can scan the entire IP range simultaneously instead of manually checking each asset for vulnerabilities.
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.
On a scale of 1 to 10, the customer support would be rated a 10, as responses are typically received within about half an hour to an hour when creating a ticket.
They have excellent support with internal Slack channels and are directly reachable through Teams.
I interacted with customer support after an endpoint compromise incident, and they responded quickly and provided clear insights that were essential for resolving the situation.
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.
I have not experienced performance issues as I add more assets, and everything operates smoothly within one console.
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.
Rapid7 InsightCloudSec works without any stability issues so far.
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.
Rapid7 InsightCloudSec already provides us real-time feedback loops, but if it also provides real-time feedback to the developers, then it would help the application shift left, meaning the security will shift left as well.
Rapid7 InsightCloudSec needs improvements such as AI-driven risk prioritization, proactive cloud risk modeling, advanced IAM privilege analysis, multi-cloud attack path mapping, pre-built automated hardening, defining stronger policy as code support, better container and serverless coverage, and cost optimization insight along with safe auto-remediation with rollback improvements.
If you can improve the traditional detection rules to reflect current detection rules, it would make it significantly easier for us to manage, as we constantly need to check legacy rules to update or possibly turn them off. Updating the legacy rules should be a priority.
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.
It is cheaper.
The more numbers you have, the less costly the product becomes, as licensing operates on volume.
While it was not overly expensive, I do wish for more discounts for bulk purchases since we have implemented it widely across our cloud security posture.
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.
Using Rapid7 InsightCloudSec alongside our ManageEngine patch management module positively impacts my organization by scanning assets deeply and providing all identified vulnerabilities, from zero-day to any vulnerabilities on an asset, addressing those that ManageEngine might not identify.
Rapid7 InsightCloudSec has helped us save thirty percent time in our log retrievals, and it completely changed log searching, making it really fast when we search for logs, with no prior knowledge required.
Rapid7 InsightCloudSec positively impacts my organization by integrating tightly with my existing vulnerability management process and workflows, particularly in creating a new project and implementing trigger-based scanning.
| Product | Mindshare (%) |
|---|---|
| Data Hub | 0.6% |
| Rapid7 InsightCloudSec | 1.0% |
| Other | 98.4% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 7 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
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.
Rapid7 InsightCloudSec is a comprehensive CSPM tool catering to cloud security across Docker and Kubernetes workloads, ensuring rigorous data classification and protection, focusing on AWS and Azure platforms.
Organizations leverage Rapid7 InsightCloudSec for securing cloud environments, integrating smoothly into Kubernetes settings for extensive security oversight. This tool addresses data protection with governance and access controls, providing centralized visibility and alert mechanisms. Users depend on its threat detection capabilities, easing data security management on AWS and Azure. The platform integrates automated processes and agentless scanning to foster an understanding of cloud security dynamics. Enhancements in CNAPP management and more intuitive interfaces could further streamline its use.
What are the most important features of Rapid7 InsightCloudSec?In financial sectors, Rapid7 InsightCloudSec is critical for safeguarding sensitive information and ensuring compliance. Healthcare industries use it to protect patient data, adhering to strict regulatory standards. E-commerce businesses appreciate its ability to secure transaction data while maintaining service availability through reliable threat detection and mitigation strategies.
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