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Data Hub vs SentinelOne Singularity Endpoint comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
2.9
Data Hub boosts efficiency via time savings and error reduction, but Atlan is quicker for specific tasks, with mixed ROI feedback.
Sentiment score
6.0
SentinelOne Singularity Endpoint offers efficient threat detection, minimizes downtime, enhances resource efficiency, and integrates seamlessly, providing strong ROI.
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 1,001-5,000 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
SentinelOne Singularity Complete has helped reduce my organization's mean time to detect by fifty percent.
Director, Infrastructure & Security at Dreamscape Companies
If I engage five engineers for this project and implement SentinelOne, then only one resource is needed to manage the dashboard and criticality alerts.
Business Head at Ivalue Infosolution
In comparison, other EDRs such as Microsoft Defender are quite resource-hungry, and employees often complain about laptop speed, but we do not face those issues.
Cybersecurity Product Manager at a tech services company with 51-200 employees
 

Customer Service

Sentiment score
3.8
Data Hub's customer service is responsive and helpful, with useful forums and webinars, though some report occasional setup challenges.
Sentiment score
7.4
SentinelOne Singularity Endpoint's support is praised for responsiveness and expertise, though access can depend on subscription and issue complexity.
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
If we get stuck at midnight, any other TAC team will be in GMT or Europe or America, and they will assign our support engineer and suddenly schedule a call for us and resolve the issue.
Soc Analyst at Softcell Technologies Limited
For the support team of SentinelOne Singularity Endpoint, I would rate them nine out of ten because there is a human voice there, so they are listening and responsive.
Mdr Analyst at Softcell Technologies
Most of the time, we are not aware of how to resolve those questions, and SentinelOne Singularity Endpoint's customer support helps us significantly with a prompt response.
SOC Analyst at Softcell Technologies
 

Scalability Issues

Sentiment score
5.4
Data Hub scales efficiently, handling diverse data sources, though optimization is needed for extensive datasets, supporting data mesh.
Sentiment score
7.8
SentinelOne Singularity Endpoint is highly scalable, effectively managing thousands of endpoints, supporting seamless growth and expansion without issues.
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
The system can scale any number of times, and only the license for each endpoint is needed.
Mdr Analyst at Softcell Technologies
I would say ten out of ten for the scalability of SentinelOne Singularity Endpoint because we can scale up and scale down as per requirement.
Security Analyst at a media company with 501-1,000 employees
The cloud-based management model makes it easier to onboard, manage, and monitor large numbers of endpoints without needing additional backend infrastructure.
Cybersecurity Engineer at Gigabit Technologies Pvt Ltd
 

Stability Issues

Sentiment score
8.0
Data Hub and Acryl Data are highly stable, reliable, and comparable to Oracle with minimal downtime and rare minor issues.
Sentiment score
8.0
SentinelOne Singularity Endpoint is highly stable, with minimal downtime and strong user satisfaction, despite occasional update connectivity issues.
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
It is quite reliable and on par with what is created using the Oracle database.
Lead Business Analyst at a tech vendor with 10,001+ employees
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
If I have to rate the stability level of Singularity Platform from one to ten, I would say it would be a strong nine.
Information Security Officer at a tech vendor with 51-200 employees
The automation helps a lot, and once implemented, we face no further issues regarding stability or scalability; everything works absolutely fine.
Associate Vice President at Novac Technology Solutions
Even if the agent disconnects from our console, it will still protect the desktop or laptop.
Soc Analyst at Softcell Technologies Limited
 

Room For Improvement

Data Hub needs better integration, automation, UI, analytics, and security, with enhancements in metadata, memory, and AI functions.
SentinelOne Singularity Endpoint users want customizable dashboards, intuitive interfaces, better integration, less resource use, and improved support.
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
The only thing that prevented the attack from succeeding was a free version of Malwarebytes.
Director, Information Technology at Premier Realty Group
When I find a log suspicious, if it automatically points out that a particular point in the log at a specific timing or frame is looking malicious, it would be easier for me.
Cyber Security Trainee at DataSpace Academy
SentinelOne Singularity Complete doesn't have data security solutions such as Forcepoint DLP or 48 layer; SentinelOne Singularity Complete doesn't have that DLP solution.
Soc Analyst at Softcell Technologies Limited
 

Setup Cost

Enterprise users find Data Hub affordable and effective, connecting multiple data sources with a $100,000 budget, with favorable feedback.
SentinelOne Singularity Endpoint offers enterprise pricing between $7 and $12 monthly, with scalable and volume-discounted licensing options.
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
If you want protection, you have to pay the price.
Information Security Principal at a venture capital & private equity firm with 1,001-5,000 employees
There are other products that are less expensive, but I tell my clients that in security, they cannot cut corners or look for the cheapest solution.
President at a tech services company with 1-10 employees
Reputation and quality are important, but especially in today’s economy, price is a significant factor.
Security and Compliance at a outsourcing company with 1,001-5,000 employees
 

Valuable Features

Data Hub enhances data exploration, collaboration, and governance with seamless integrations, metadata management, and user-friendly interface, boosting efficiency.
SentinelOne Singularity Endpoint offers in-depth log analysis, real-time threat detection, and streamlined incident management with AI-driven capabilities.
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
I have an advanced app providing visibility of all my endpoints, which was not the case before.
AGM IT Security at Page Industries Ltd
SentinelOne has a feature to decommission automatically, which has been fantastic.
Computer Technician at VILLE DE POINTE-CLAIRE
There's also automation that gives my team free time, preventing them from having to look for every alert.
Network & Security Section Head/Digital Transformation at a government with 201-500 employees
 

Categories and Ranking

Data Hub
Ranking in AI Observability
8th
Average Rating
8.2
Reviews Sentiment
4.8
Number of Reviews
22
Ranking in other categories
Metadata Management (4th)
SentinelOne Singularity End...
Ranking in AI Observability
2nd
Average Rating
8.8
Reviews Sentiment
7.1
Number of Reviews
280
Ranking in other categories
Endpoint Protection Platform (EPP) (2nd), Anti-Malware Tools (2nd), Endpoint Detection and Response (EDR) (1st), Extended Detection and Response (XDR) (1st), AI-Powered Cybersecurity Platforms (2nd)
 

Mindshare comparison

As of August 2026, in the AI Observability category, the mindshare of Data Hub is 0.6%. The mindshare of SentinelOne Singularity Endpoint is 1.6%, down from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Observability Mindshare Distribution
ProductMindshare (%)
SentinelOne Singularity Endpoint1.6%
Data Hub0.6%
Other97.8%
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.
Vaibhav Mahendra Kolhe - PeerSpot reviewer
Soc Analyst at Softcell Technologies Limited
Automation has reduced alerts and freed the soc team to focus on faster incident response
Regarding mean time to respond, the improvements I see with SentinelOne Singularity Complete are that genuine files also get alerts. We are getting false positives, but we are also getting genuine true positive alerts. The improvement will be deep visibility because as I am using Splunk as a SIEM, I compare deep visibility with Splunk, but deep visibility has limited access with only a 14-day policy to retain logs. The improvement will be in overall policy management. The third point will be the complexity of policies. If we want some endpoints to use only USB or if we need to block USB on some points, the policy management is very complex. The fourth point will be that Mac OS and Linux don't have the rollback policy; that policy is only for Windows. These four points are improvements if SentinelOne Singularity Complete can address them. Data privacy and security when utilizing Purple AI is crucial for SentinelOne Singularity Complete, and SentinelOne Singularity Complete lacks in data security. Data security is very important in this world. In my organization, if we deploy SentinelOne Singularity Complete and we have integrated all the firewalls, all devices, and AWS devices to SentinelOne Singularity Complete, logs will be forwarded to SentinelOne Singularity Complete through SentinelOne Singularity Complete. However, SentinelOne Singularity Complete doesn't have data security solutions such as Forcepoint DLP or 48 layer; SentinelOne Singularity Complete doesn't have that DLP solution. From the data security point of view, SentinelOne Singularity Complete is not good.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Outsourcing Company
12%
Construction Company
10%
Manufacturing Company
9%
Outsourcing Company
9%
Manufacturing Company
9%
Computer Software Company
9%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise7
Large Enterprise15
By reviewers
Company SizeCount
Small Business135
Midsize Enterprise72
Large Enterprise93
 

Questions from the Community

What needs improvement with Data Hub?
Data Hub can be improved with easy accessibility. I think integration with other environments is needed to enhance accessibility.
What is your primary use case for Data Hub?
My main use case for Data Hub is for data governance, specifically the use of data lineage and data catalog. I use Data Hub for data governance and data lineage in my day-to-day work by checking th...
What advice do you have for others considering Data Hub?
I do not have any advice to give to others looking into using Data Hub. I found this interview valuable and do not think anything needs to change for the future. My overall review rating for Data H...
Cortex XDR by Palo Alto vs. Sentinel One
Cortex XDR by Palo Alto vs. SentinelOne SentinelOne offers very detailed specifics with regard to risks or attacks. The ability to reverse damage caused by ransomware with minimal interruptions to...
Which is better - SentinelOne or Darktrace?
Which solution is better depends on which is more suitable specifically for your company. Darktrace, for example, is meant for smaller to medium-sized businesses. It is also a good option for organ...
What is your experience regarding pricing and costs for SentinelOne Singularity?
It is neither too costly, but definitely, it is one of the advantages that SentinelOne is quite adapted towards the pricing.
 

Also Known As

Acryl Data
Sentinel Labs, SentinelOne Singularity, Singularity Platform
 

Overview

 

Sample Customers

Information Not Available
Havas, Flex, Estee Lauder, McKesson, Norfolk Southern, JetBlue, Norwegian airlines, TGI Friday, AVX, Fim Bank
Find out what your peers are saying about Data Hub vs. SentinelOne Singularity Endpoint and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.