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Data Hub vs Rapid7 InsightCloudSec 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
3.0
Data Hub reduces errors, saves time in incident management, improves Power BI troubleshooting, and centralizes data cataloging and classification.
Sentiment score
6.0
Rapid7 InsightCloudSec saves costs, reduces risks, automates tasks, and streamlines compliance, enhancing security and operational efficiency.
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
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.
Site Reliability Engineer at a comms service provider with 501-1,000 employees
It provides a good security posture and helps handle misconfigurations and day-to-day remediations.
Senior Cloud Security Engineer at a educational organization with 10,001+ employees
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.
Junior systems engineer at a tech services company with 11-50 employees
 

Customer Service

Sentiment score
3.8
Data Hub's customer support is responsive and effective, utilizing Slack, webinars, and documentation for timely and genuine assistance.
Sentiment score
4.9
Rapid7 InsightCloudSec customer service receives mixed reviews, excelling in responsiveness but needing improvement in communication and local presence.
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
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.
Senior Platform Engineer Lead at a tech services company with 1,001-5,000 employees
They have excellent support with internal Slack channels and are directly reachable through Teams.
Senior Cloud Security Engineer at a educational organization with 10,001+ employees
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.
Platform Engineer at Cedar Gate Technologies, LLC
 

Scalability Issues

Sentiment score
5.5
Data Hub scales efficiently, seamlessly managing growing users and datasets while integrating diverse sources for expansive organizational growth.
Sentiment score
5.8
Rapid7 InsightCloudSec is a scalable, adaptable SaaS tool providing reliable cloud visibility but may require specific configurations.
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
I have not experienced performance issues as I add more assets, and everything operates smoothly within one console.
Junior systems engineer at a tech services company with 11-50 employees
 

Stability Issues

Sentiment score
8.0
Data Hub is praised for exceptional stability and reliability, with minimal downtime during upgrades, ensuring consistent performance.
Sentiment score
8.0
Users are pleased with Rapid7 InsightCloudSec's stability, though some experience slight slowness due to its SaaS platform.
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
Rapid7 InsightCloudSec works without any stability issues so far.
Junior Security Analyst at a financial services firm with 51-200 employees
 

Room For Improvement

Data Hub needs better data quality, integration, automation, user experience, and analytics to simplify features for all users.
Rapid7 InsightCloudSec needs UI/UX improvements, better third-party integration, enhanced reporting, and refined risk prioritization and detection capabilities.
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
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.
Site Reliability Engineer at a comms service provider with 501-1,000 employees
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.
Cybersecurity analyst at Cornerstone OnDemand
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.
SOC analyst at a media company with 1,001-5,000 employees
 

Setup Cost

Rapid7 InsightCloudSec offers competitive, cost-efficient cloud security management with reasonable pricing, seamless licensing, and straightforward setup.
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
It is cheaper.
Senior Cloud Security Engineer at a educational organization with 10,001+ employees
The more numbers you have, the less costly the product becomes, as licensing operates on volume.
Junior systems engineer at a tech services company with 11-50 employees
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.
Platform Engineer at Cedar Gate Technologies, LLC
 

Valuable Features

Data Hub enhances data discoverability, governance, and collaboration with features like tagging, scalability, and seamless tool integration for actionable insights.
Rapid7 InsightCloudSec enhances security with frameworks, threat detection, automation, and AI log searches, boosting efficiency and response speed.
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
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.
Junior systems engineer at a tech services company with 11-50 employees
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.
Site Reliability Engineer at a comms service provider with 501-1,000 employees
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.
Assistant Vice President for Security Operation Center at Sohar International Bank
 

Categories and Ranking

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)
Rapid7 InsightCloudSec
Ranking in AI Observability
9th
Average Rating
7.8
Reviews Sentiment
6.3
Number of Reviews
13
Ranking in other categories
Cloud Management (13th), Cloud Security Posture Management (CSPM) (13th), Cloud-Native Application Protection Platforms (CNAPP) (11th)
 

Mindshare comparison

As of July 2026, in the AI Observability category, the mindshare of Data Hub is 0.6%. The mindshare of Rapid7 InsightCloudSec is 1.0%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Observability Mindshare Distribution
ProductMindshare (%)
Data Hub0.6%
Rapid7 InsightCloudSec1.0%
Other98.4%
AI Observability
 

Featured Reviews

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.
Arun Babu - PeerSpot reviewer
SOC analyst at a media company with 1,001-5,000 employees
Daily endpoint monitoring has improved investigations and saved time but detection rules still need tuning
It is important to note that Rapid7 InsightCloudSec's features are not 100% precise, but I find about 70% of the time it is satisfactory. I would like to suggest that you improve it to be more precise, ideally making it 100% if possible. Some cases in Rapid7 InsightCloudSec indicate that the log is not enough, as they mostly just generate alerts, and the synchronization between data connectors is often problematic, particularly in terms of not being in sync always, especially between the AD and Rapid7 alerts, which generates numerous false positives. Additionally, the traditional rules should be updated, as this is a main point worth mentioning since we spend a lot of time fine-tuning these traditional rules. I suggest improving the legacy detection rules. If there are any authentication cases, such as impossible travel activity where a user has their SharePoint hosted in a different location, Rapid7 can often trigger alerts, creating confusion as we cannot fine-tune it properly. Another issue is with honeypot access. We sometimes lack necessary logs because Defender's advanced threat protection scanning gets detected as honeypot activity by Rapid7, leading to annoying and noisy alerts that we need to constantly close. 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.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Outsourcing Company
12%
Wholesaler/Distributor
9%
Manufacturing Company
9%
Financial Services Firm
10%
Manufacturing Company
9%
Comms Service Provider
9%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise7
Large Enterprise14
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise4
Large Enterprise8
 

Questions from the Community

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...
What is your experience regarding pricing and costs for Rapid7 InsightCloudSec?
The pricing, setup cost, and licensing for Rapid7 InsightCloudSec are reasonable, and since our organization is growing, I have observed that the more numbers you have, the less costly the product ...
What needs improvement with Rapid7 InsightCloudSec?
I would say that because Rapid7 InsightCloudSec does not have automatic patching capabilities, it provides recommendations, but it does not execute anything from within Rapid7 InsightCloudSec. It h...
What is your primary use case for Rapid7 InsightCloudSec?
In my role, my main use case for Rapid7 InsightCloudSec is for vulnerability management, where I scan my machines to see zero-day vulnerabilities and receive remediation tactics recommended by Rapi...
 

Also Known As

Acryl Data
DivvyCloud
 

Overview

 

Sample Customers

Information Not Available
Fannie Mae, 3M, PizzaHut, Spotify, Autodesk, Discovery
Find out what your peers are saying about Data Hub vs. Rapid7 InsightCloudSec and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.