

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.
On average, we're saving about 10 to 15 hours per project.
I have seen a return on investment, specifically with increased data science productivity by four times, time saved with deploying models, and homogeneous analysis models developed easily.
SentinelOne Singularity Complete has helped reduce my organization's mean time to detect by fifty percent.
If I engage five engineers for this project and implement SentinelOne, then only one resource is needed to manage the dashboard and criticality alerts.
Since then, I have not faced any intrusions, which is one reason I chose SentinelOne over ESET.
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
The customer support from DataRobot is proactive and responsive.
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.
We are using the automated email process for support, and they respond within an hour or two hours sometimes.
A chat service would be beneficial.
DataRobot's scalability is very strong and grows with my organization's needs.
It's all auto-scale and auto-categorized, configuring automatically.
SentinelOne Singularity Complete is very scalable.
SentinelOne Singularity Complete is very scalable for our needs.
DataRobot is very stable.
Even if the agent disconnects from our console, it will still protect the desktop or laptop.
We get real-time alerts that arrive as incidents occur.
This indicates room for improvement in stability when interacting with other solutions.
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.
There is a lack of transparency in the models; sometimes it feels like a black box.
Another improvement that DataRobot needs is integrating the capability to modify the whole pipeline with Python.
The only thing that prevented the attack from succeeding was a free version of Malwarebytes.
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.
Providing a single pane of visibility for the end user would be beneficial.
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.
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.
If you want protection, you have to pay the price.
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.
Reputation and quality are important, but especially in today’s economy, price is a significant factor.
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
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.
When business leaders ask for the fastest possible solution, DataRobot is our go-to platform.
I have an advanced app providing visibility of all my endpoints, which was not the case before.
SentinelOne has a feature to decommission automatically, which has been fantastic.
There's also automation that gives my team free time, preventing them from having to look for every alert.
| Product | Mindshare (%) |
|---|---|
| SentinelOne Singularity Complete | 2.0% |
| DataRobot | 0.5% |
| Other | 97.5% |


| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 94 |
| Midsize Enterprise | 48 |
| Large Enterprise | 78 |
DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.
SentinelOne Singularity Complete delivers advanced endpoint protection leveraging AI-driven threat detection and behavior analysis for efficient malware and ransomware response. Its standout features enhance security insights and ensure comprehensive endpoint management.
SentinelOne Singularity Complete provides robust ransomware recovery through unique rollback capabilities and seamless integration with various security solutions. Its machine learning enhances endpoint protection, minimizing false positives and automating responses. While praised for real-time threat monitoring, incident management, and asset management, it faces challenges in managing the console, customizing UI, and maintaining policy flexibility. Some users report difficulties with deployment and integration with existing systems, and enhanced reporting, alert management, and documentation are desired. Its appeal extends to deploying across multiple operating systems, offering comprehensive security coverage and facilitating cybersecurity compliance.
What standout features does SentinelOne Singularity Complete offer?Industries implement SentinelOne Singularity Complete for its AI capabilities in advanced endpoint protection, particularly against malware and ransomware. It's utilized across diverse operating systems, aiding in real-time threat monitoring and facilitating compliance. Organizations use it for vulnerability assessments and asset management, ensuring optimal protection in complex IT environments.
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