

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.
We have also seen fewer escalations for minor issues because alerts help us catch problems earlier, which indirectly reduces downtime and improves overall efficiency.
If the data gets encrypted, it automatically rolls back.
Before using SentinelOne Singularity AI SIEM, investigating a moderately complex alert took around thirty to sixty minutes because analysts had to collect logs from multiple security tools.
SentinelOne Singularity AI SIEM has reduced our response time to true positive alerts by approximately forty percent through automation.
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.
SentinelOne Singularity AI SIEM has AI-based technical support available.
Based on my experience with the technical support of SentinelOne Singularity AI SIEM, I would rate them a ten.
In rating the technical support for SentinelOne, it depends on whether we are discussing EDR or SentinelOne Singularity AI SIEM.
Datadog's scalability has been great as it has been able to grow with our needs.
Since it is a SaaS platform, we did not have to worry about backend scaling.
We have not faced any major performance issues from the platform side; it handles increased metrics and monitoring loads smoothly.
It is designed to handle growing log volumes and supports environments that include on-premises infrastructure, cloud services, endpoints, identity platforms, and network devices.
With any AI adoption, the end goal should be more governance and data security and safety.
The performance depends on the configuration.
Metrics collection and alerting have been consistent in day-to-day use.
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.
I have worked with it, and it is very handy, easy to manage, and excellent with its AI-driven capabilities.
When it comes to stability, I would give SentinelOne Singularity AI SIEM a nine.
In terms of performance stability, I have never had any crashes, downtimes, or performance issues.
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.
Having more transparent and granular cost control features would make it easier to manage usage.
The adoption rate will be less compared to other products, as this can be a time-taken process because all my data needs to be offloaded and the system needs to understand my existing alerts, logs, and other things.
The interface flickers frequently, and sometimes it does not load properly.
Whenever OT security comes into the picture, the customers do not allow us to integrate their OT devices on a cloud. It should be available on-premises because the OT SIEM market, in the India market for instance, is something around a four to eight billion dollar market.
The setup cost for Datadog is more than $100.
Pricing is mainly based on data ingestion, such as logs, metrics, and traces, and it can increase quickly if everything is enabled by default.
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.
I find SentinelOne's pricing to be reasonable and competitive.
Features such as centralized log management, AI-driven analytics, automated workflow, and integrated security options can reduce operational overhead and improve SOC efficiency, which helps justify the investment.
Compared to another SIEM tool's pricing, the pricing is the best, from my side.
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.
We finally have visibility into things that were never visible before.
It employs a combination of AI and ML to check for viruses or any other malicious processes, including fileless attacks.
The AI-driven threat detection capabilities improve our overall security posture.
| Product | Mindshare (%) |
|---|---|
| Datadog | 4.2% |
| SentinelOne Singularity AI SIEM | 1.1% |
| Other | 94.7% |


| Company Size | Count |
|---|---|
| Small Business | 82 |
| Midsize Enterprise | 49 |
| Large Enterprise | 100 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 4 |
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 AI SIEM offers comprehensive security information and incident management designed to enhance threat detection, response, and investigation capabilities within enterprise environments.
SentinelOne Singularity AI SIEM is known for its robust capabilities in the realm of cybersecurity, providing organizations with an advanced tool to combat modern threats. The platform integrates machine learning and artificial intelligence to automate threat identification and streamline incident response processes. Its intuitive interface allows teams to manage security events efficiently, ensuring rapid reaction to potential vulnerabilities. As a scalable tool, it adapts to evolving security demands, providing valuable insights to safeguard critical business operations.
What are the important features of SentinelOne Singularity AI SIEM?In industries such as finance and healthcare, implementation of SentinelOne Singularity AI SIEM often means tailored solutions to protect sensitive data, meeting regulatory compliance. These sectors appreciate its capability to provide detailed insights and reduce the risk of data breaches, thus preserving stakeholder trust.
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