DataRobot vs SentinelOne Singularity Endpoint comparison

DataRobot and SentinelOne are both solutions in the AI Observability category. DataRobot is ranked #27 with an average rating of 8.3, while SentinelOne is ranked #4 with an average rating of 8.9. DataRobot holds a 0.7% mindshare in AO, compared to SentinelOne’s 1.6% mindshare. Additionally, 100% of DataRobot users are willing to recommend the solution, compared to 98% of SentinelOne users who would recommend it.

DataRobot

Read 7 DataRobot reviews

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453 Comparison Views

100% willing to recommend

SentinelOne Singularity End...

Read 239 SentinelOne Singularity Endpoint reviews

29,894 Views
1,495 Comparison Views

98% willing to recommend

DataRobot

SentinelOne Singularity End...

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 9, 2026

SentinelOne Singularity Complete and DataRobot both compete in the realm of comprehensive cybersecurity and data science automation solutions. SentinelOne appears to have an edge in providing real-time visibility and autonomous threat response, while DataRobot excels in automating model deployment and processing large data efficiently.

Features: SentinelOne Singularity Complete offers centralized management with AI-powered behavior detection for proactive threat protection, autonomous response capabilities that isolate threats without intervention, and comprehensive reporting across various operating systems. DataRobot simplifies machine learning processes with its AutoML, feature engineering, and time series modeling, allowing for efficient model comparison and deployment, significantly enhancing workflow efficiency for data scientists.

Room for Improvement: SentinelOne could enhance its product by improving custom reporting, optimizing console performance for large deployments, and expanding integration with IT tools. User-friendly dashboards and better management of false positives are also areas for potential development. DataRobot could benefit from increased transparency, better optimization for handling large datasets, richer integration with orchestration tools, and improvements in model accuracy metrics.

Ease of Deployment and Customer Service: SentinelOne Singularity Complete is known for its flexible deployment options, serving on-premises, public, private, and hybrid clouds, paired with robust technical support. Although effective, advanced troubleshooting can sometimes be slow. DataRobot focuses on cloud deployment, eliminating the need for on-premises infrastructure. Its rapid setup and generally positive support reputation could be improved with better response times and personalized assistance.

Pricing and ROI: SentinelOne Singularity Complete is acknowledged for competitive pricing relative to solutions like CrowdStrike, offering a substantial ROI by reducing manual investigation times and managing threats cost-effectively. Meanwhile, DataRobot, although considered premium, faces criticism for high costs which might pose challenges for smaller organizations. Nonetheless, its ROI is apparent in time savings and heightened productivity within machine learning processes.

To learn more, read our detailed DataRobot vs. SentinelOne Singularity Endpoint Report (Updated: April 2026).

Buyer's Guide

DataRobot vs. SentinelOne Singularity Endpoint

April 2026

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Helped 894,738 peers since 2012

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

8.8

DataRobot enhanced prediction accuracy, reduced analysis time, simplified processes, and improved efficiency, leading to better decisions and cost savings.

Sentiment score

6.5

SentinelOne Singularity Endpoint enhances security, improves efficiency, and offers significant ROI through reduced threat detection time and incident impacts.

Previously we had five employees doing the entire workflow, and now we can do it with two employees because agents are being used to do the same which was previously being done by the employees.

Niketan Kumar

Advisory Solutions Architect at Dell Technologies

On average, we're saving about 10 to 15 hours per project.

Naqash Ahmed

Senior Data Reporting Analyst at University of Bradford

For more quotes and insights, download the DataRobot report

SentinelOne Singularity Complete has helped reduce my organization's mean time to detect by fifty percent.

David Heinz

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.

Manoranjan Rana

Business Head at Ivalue Infosolution

Since then, I have not faced any intrusions, which is one reason I chose SentinelOne over ESET.

David Smegelski

Computer Technician at VILLE DE POINTE-CLAIRE

For more quotes and insights, download the SentinelOne Singularity Endpoint report

Customer Service

Sentiment score

8.2

DataRobot's support is praised for its responsiveness and guidance, enhancing user experience despite minor scalability and documentation issues.

Sentiment score

7.3

SentinelOne's customer service is effective and quick, yet needs improvement in real-time response and engagement options.

They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.

SagarYadav

Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees

Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.

Naqash Ahmed

Senior Data Reporting Analyst at University of Bradford

The DataRobot team was very helpful in answering the questions which the customer had.

Niketan Kumar

Advisory Solutions Architect at Dell Technologies

For more quotes and insights, download the DataRobot report

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.

Vaibhav Mahendra Kolhe

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.

Raj Borge

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.

Subodh Desai

SOC Analyst at Softcell Technologies

For more quotes and insights, download the SentinelOne Singularity Endpoint report

Scalability Issues

Sentiment score

6.5

DataRobot scales well but can become costly, leading users to reconsider affordability after initial discount periods.

Sentiment score

7.9

SentinelOne Singularity Endpoint offers scalable, cloud-native security with centralized management, praised for easy growth adaptability and reliable performance.

DataRobot is very scalable because the customer initially started with two licenses, and now they have around 20 licenses.

Niketan Kumar

Advisory Solutions Architect at Dell Technologies

For more quotes and insights, download the DataRobot report

The platform is designed to handle thousands of endpoints without significant performance degradation.

Abhinandan Yadav

Network Security Engineer at Arrow PC Network Pvt Ltd

The system can scale any number of times, and only the license for each endpoint is needed.

Raj Borge

Mdr Analyst at Softcell Technologies

It's all auto-scale and auto-categorized, configuring automatically.

Deepak Bhaskaran

AGM IT Security at Page Industries Ltd

For more quotes and insights, download the SentinelOne Singularity Endpoint report

Stability Issues

Sentiment score

8.0

DataRobot is praised for stability, user satisfaction, and improvements, leading some to prefer it over Amazon SageMaker.

Sentiment score

7.9

SentinelOne Singularity Endpoint is stable and reliable, with infrequent issues, rare downtime, and consistent threat protection.

No quotes available

For more quotes and insights, download the DataRobot report

If I have to rate the stability level of Singularity Platform from one to ten, I would say it would be a strong nine.

reviewer2646066

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.

Mohan Janarthanan

Associate Vice President at Novac Technology Solutions

Even if the agent disconnects from our console, it will still protect the desktop or laptop.

Vaibhav Mahendra Kolhe

Soc Analyst at Softcell Technologies Limited

For more quotes and insights, download the SentinelOne Singularity Endpoint report

Room For Improvement

DataRobot needs better integration, dataset handling, customization, model transparency, support, documentation, Python incorporation, generative AI, and pricing.

SentinelOne Singularity Endpoint requires improved usability, customization, performance, integration, and management features to address user challenges.

If DataRobot also adds those data transformation capabilities, then it will be an end-to-end tool and the customer will not have to procure many tools for doing the ingestion and transformation process.

Niketan Kumar

Advisory Solutions Architect at Dell Technologies

DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.

SagarYadav

Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees

There is a lack of transparency in the models; sometimes it feels like a black box.

Naqash Ahmed

Senior Data Reporting Analyst at University of Bradford

For more quotes and insights, download the DataRobot report

The only thing that prevented the attack from succeeding was a free version of Malwarebytes.

Josh Vinson

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.

Akash Das Barman

Cyber Security Mentor and 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.

Vaibhav Mahendra Kolhe

Soc Analyst at Softcell Technologies Limited

For more quotes and insights, download the SentinelOne Singularity Endpoint report

Setup Cost

DataRobot's pricing is seen as justified by some but costly for smaller organizations, affecting their purchase decisions.

SentinelOne Singularity Endpoint offers competitively priced robust security solutions with flexible licensing, seen as cost-effective against CrowdStrike.

The setup cost was minimal because it's cloud-hosted, eliminating the need for heavy on-premises infrastructure, allowing us to start using it immediately after purchase.

Naqash Ahmed

Senior Data Reporting Analyst at University of Bradford

For more quotes and insights, download the DataRobot report

If you want protection, you have to pay the price.

Mohsinoddin Mohammed

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.

reviewer1964085

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.

Daniel Giacomelli

Security and Compliance at a outsourcing company with 1,001-5,000 employees

For more quotes and insights, download the SentinelOne Singularity Endpoint report

Valuable Features

DataRobot automates model building and deployment, integrating diverse data sources, enhancing productivity, reducing timelines, and improving decision-making.

SentinelOne Singularity Endpoint offers robust visibility, automated detection, minimal resource use, and strong AI-driven interoperability for enhanced security.

By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.

SagarYadav

Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees

DataRobot has positively impacted our organization in many ways. First, it has improved efficiency; tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.

Naqash Ahmed

Senior Data Reporting Analyst at University of Bradford

DataRobot's one of the major features is model evaluation and model performance.

Niketan Kumar

Advisory Solutions Architect at Dell Technologies

For more quotes and insights, download the DataRobot report

I have an advanced app providing visibility of all my endpoints, which was not the case before.

Deepak Bhaskaran

AGM IT Security at Page Industries Ltd

SentinelOne has a feature to decommission automatically, which has been fantastic.

David Smegelski

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.

Magdy Ali

Network & Security Section Head/Digital Transformation at a government with 201-500 employees

For more quotes and insights, download the SentinelOne Singularity Endpoint report

Categories and Ranking

DataRobot

Ranking in AI Observability

27th

Average Rating

8.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Predictive Analytics (6th), AI Development Platforms (14th), AIOps (15th), AI Finance & Accounting (8th)

SentinelOne Singularity End...

Ranking in AI Observability

4th

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

239

Ranking in other categories

Endpoint Protection Platform (EPP) (3rd), Anti-Malware Tools (2nd), Endpoint Detection and Response (EDR) (2nd), Extended Detection and Response (XDR) (2nd), AI-Powered Cybersecurity Platforms (3rd)

Mindshare comparison

As of May 2026, in the AI Observability category, the mindshare of DataRobot is 0.7%, down from 1.2% compared to the previous year. The mindshare of SentinelOne Singularity Endpoint is 1.6%, down from 7.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Observability Mindshare Distribution
Product	Mindshare (%)
SentinelOne Singularity Endpoint	1.6%
DataRobot	0.7%
Other	97.7%

AI Observability

Featured Reviews

Naqash Ahmed

Senior Data Reporting Analyst at University of Bradford

Automation has improved efficiency and decision-making while big data handling and transparency still need work

Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black box. For example, when I uploaded a large data set of about two gigabytes for processing, the time taken was slower than expected. Additionally, the handling of bigger data sets could be better, as it performs extremely well with smaller datasets but can lag with larger ones. The integration with some other tools used in our organization can also be challenging, and more flexibility for custom pre-processing and advanced model tuning would be beneficial. In terms of support and documentation, I believe improvements are needed. For instance, the response time from DataRobot could be quicker, which would be appreciated when we need assistance. The documentation is generally sufficient, but it can be lengthy and could use more real-world examples and step-by-step tutorials for better clarity. Lastly, creating a client community where users can share experiences and solutions might enhance the overall value and learning curve.

Read full review

Vaibhav Mahendra Kolhe

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

14%

Manufacturing Company

13%

Educational Organization

Construction Company

Computer Software Company

11%

Manufacturing Company

Financial Services Firm

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	109
Midsize Enterprise	59
Large Enterprise	83

Questions from the Community

What is your experience regarding pricing and costs for DataRobot?

My experience with pricing, setup cost, and licensing reveals that the price points can be improved and DataRobot is not so cost-effective, especially for smaller organizations.

See all answers

What needs improvement with DataRobot?

To improve DataRobot, I suggest enhancing model accuracy metrics and improving automation. The price points can also be improved. Another improvement that DataRobot needs is integrating the capabil...

See all answers

What is your primary use case for DataRobot?

DataRobot serves as our data science platform for building machine learning models and the development environment for running models. We also use the best practice processes and governance that Da...

See all answers

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...

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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...

See all answers

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.

See all answers

Comparisons

Amazon SageMaker vs DataRobot

Compared 8% of the time

Cohere vs DataRobot

Compared 6% of the time

Alteryx vs DataRobot

Compared 6% of the time

Microsoft Azure Machine Learning Studio vs DataRobot

Compared 5% of the time

Hugging Face vs DataRobot

Compared 5% of the time

More DataRobot Competitors

CrowdStrike Falcon vs SentinelOne Singularity Endpoint

Compared 4% of the time

Fortinet FortiEDR vs SentinelOne Singularity Endpoint

Compared 4% of the time

Cortex XDR by Palo Alto Networks vs SentinelOne Singularity Endpoint

Compared 3% of the time

Microsoft Defender for Endpoint vs SentinelOne Singularity Endpoint

Compared 3% of the time

Huntress Managed EDR vs SentinelOne Singularity Endpoint

Compared 2% of the time

More SentinelOne Singularity Endpoint Competitors

Product Reports

Buyer's Guide

DataRobot

May 2026

Download DataRobot product report

Buyer's Guide

SentinelOne Singularity Endpoint

April 2026

Download SentinelOne Singularity Endpoint product report

Also Known As

No data available

Sentinel Labs, SentinelOne Singularity, Singularity Platform

Overview

DataRobot automates model building and deployment, simplifying MLOps with user-friendly interfaces. Its AutoML and feature engineering streamline model comparison, selection, and testing, enhancing efficiency and scalability.

DataRobot facilitates efficient integration with cloud systems and data sources, reducing manual workload, enhancing productivity, and empowering data-driven decision-making. Its strengths lie in automating complex modeling tasks and supporting multiple predictive models effectively. Users emphasize the need for better handling of large datasets, integration with orchestration tools, and more flexibility for custom code integration and advanced model tuning. They also seek improved support response times, transparent model processing, real-world documentation, and enhanced capabilities in generative AI and accuracy metrics.

What are the key features of DataRobot?

Automated Modeling: Efficiently builds models with AutoML capabilities.
Model Deployment: Simplifies the deployment of machine learning models.
Model Monitoring: Tracks model performance for sustained accuracy.
Cloud System Integration: Seamlessly connects with major cloud platforms for scalability.
Data Source Compatibility: Integrates with various data sources to reduce manual efforts.

What benefits should users consider in reviews?

Increased Productivity: Automation reduces time spent on model development.
Scalability: Easily handles multiple models across departments.
Data-Driven Decisions: Empowers teams with actionable insights.
Time Efficiency: Significantly reduces project timelines.

DataRobot is adopted across industries like healthcare and education for creating and monitoring machine learning models. It accelerates development with GUI capabilities, aids data cleaning, and optimizes feature engineering and deployment. Organizations can predict behaviors, automate tasks, manage production models, and integrate into data science processes to improve data processing and maximize efficiency.

DataRobot

SentinelOne Singularity Complete is an advanced endpoint security platform featuring centralized management across multiple locations. It leverages AI-driven behavior detection, threat prioritization, and ransomware rollback for enhanced protection and streamlined operations.

With a focus on endpoint protection, threat detection, and automated response, SentinelOne Singularity Complete provides comprehensive security through AI-powered behavioral analysis and real-time threat detection. The centralized console simplifies management, offering seamless integration and minimal system impact. Its robust reporting capabilities facilitate compliance with audit-ready reports. Lightweight agents operate across diverse environments, improving visibility and performance while curbing manual efforts. To optimize its utility, faster console load times and improved customizability in reports and dashboards are recommended. Users may benefit from smoother integration with IT tools and enhanced policy management flexibility, as well as upgraded agent processes and simplified endpoint deployment. Expanding built-in analytics and refining alert management can further heighten platform efficacy.

What are the key features of SentinelOne Singularity Complete?

AI-Powered Detection: Utilizes advanced AI to identify potential threats based on behavior.
Automatic Remediation: Automatically rectifies detected issues, reducing response times.
Ransomware Rollback: Restores data to previous states if affected by ransomware attacks.
Centralized Dashboards: Provides real-time insights through intuitive dashboards.
Threat Prioritization: Identifies and ranks threats based on potential impact.

What benefits should users look for in reviews?

Integration: Seamlessly connects with security solutions to enhance risk management.
Minimal System Impact: Operates efficiently, preserving system performance.
Enhanced Protection: Delivers robust threat defense through AI-driven technology.
Compliance Support: Offers detailed reporting for audit readiness.
User Convenience: Combines autonomous decision-making with an intuitive interface.

In various industries, SentinelOne Singularity Complete is implemented for endpoint protection and incident management. Companies rely on it for its real-time threat detection and automated response capabilities, ensuring compliance and reduced manual intervention. Its adaptive nature supports diverse environments, enhancing operational efficiency.

SentinelOne

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant

Havas, Flex, Estee Lauder, McKesson, Norfolk Southern, JetBlue, Norwegian airlines, TGI Friday, AVX, Fim Bank

Buyer's Guide

DataRobot vs. SentinelOne Singularity Endpoint

April 2026

Free Report: DataRobot vs. SentinelOne Singularity Endpoint

Find out what your peers are saying about DataRobot vs. SentinelOne Singularity Endpoint and other solutions. Updated: April 2026.

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