

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.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
Datadog is something which I can 100% rely on, and it is very cost-effective and totally worth it.
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.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
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.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
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.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
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.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
We want to be able to customize the cost part, and we would appreciate more granular access control.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
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 for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
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.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
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 (%) |
|---|---|
| Datadog | 9.6% |
| SentinelOne Singularity Complete | 2.0% |
| Other | 88.4% |


| Company Size | Count |
|---|---|
| Small Business | 81 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 94 |
| Midsize Enterprise | 48 |
| Large Enterprise | 78 |
Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.
Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.
What are Datadog's Key Features?In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.
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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