

Datadog and SentinelOne Singularity Cloud Security compete in the cloud monitoring and security space. Datadog has an edge in deployment flexibility, while SentinelOne excels with sophisticated AI-driven threat detection and remediation capabilities.
Features: Datadog provides a rich set of features including sharable dashboards, numerous integrations with platforms like Amazon, Docker, and Splunk, as well as intuitive tag usage for streamlined monitoring. It excels in handling custom metrics and seamless integrations. SentinelOne Singularity Cloud Security is notable for comprehensive real-time threat detection with advanced AI capabilities, automated remediation, an intuitive user-friendly console, cloud-native environment support, and strong focus on vulnerability management and security posture.
Room for Improvement: Datadog could enhance its data representation, consistency across its API, and pricing model, along with more user-friendly dashboards and broader integration support for comprehensive experiences. Improved notification systems and extended pre-configured alerts would also be beneficial. For SentinelOne, reducing resource intensity, improving false positive rates, and expanding third-party integrations while enhancing storytelling features are areas of improvement.
Ease of Deployment and Customer Service: Datadog offers flexible deployment across public, private, and hybrid environments, though customer support time can vary. SentinelOne Singularity supports in-depth cloud and on-premise options, with consistent customer service and suggestions for response time improvement, though Datadog offers more diverse deployment model variety.
Pricing and ROI: Datadog's pricing can quickly escalate without careful management, though users find it offers substantial ROI via operational insights and time savings. SentinelOne is perceived as fairly priced compared to competitors, with its value centered on extensive security coverage and features, albeit sometimes costly.
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.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
The detailed information PingSafe gives about how to fix vulnerabilities reduces the time spent on remediation by about 70 to 80 percent.
After implementing SentinelOne, it takes about five to seven minutes.
Our ability to get in and review our vulnerability stance, whether daily, monthly, weekly, or whatever it might be, has drastically improved over our prior provider.
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.
When we send an email, they respond quickly and proactively provide solutions.
They took direct responsibility for the system and could solve queries quickly.
Having a reliable team ready and willing to assist with any issues is essential.
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.
I would rate it a 10 out of 10 for scalability.
Scalability is no longer a concern because Cloud Native Security is a fully cloud-based resource.
I would rate the scalability of PingSafe 10 out of 10.
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.
SentinelOne Singularity Cloud is incredibly reliable.
We contacted Cloud Native Security, and they addressed it in a day.
The only downtime we had was when switching from V1 to V2 but it was smooth.
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.
If they can merge Kubernetes Security with other modules related to Kubernetes, that would help us to get more modules in the current subscription.
As organizations move to the cloud, a cloud posture management tool that offers complete cloud visibility becomes crucial for maintaining compliance.
I would also like to see Cloud Native Security offer APIs that allow us to directly build dashboards within the platform.
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.
With very little negotiation involved, we just let them know what we could pay and they were willing to meet us at slightly above what we paid with Sophos, which was still very fair for what we were looking at.
There are some tools that are double the cost of Cloud Native Security.
I recall Cloud Native Security charging a slightly higher premium previously.
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.
This helps visualize potential attack paths and even suggests attack paths a malicious actor might take.
The infrastructure-as-code feature is helpful for discovering open ports in some of the modules.
This tool has been helpful for us. It allows us to search for vulnerabilities and provides evidence directly on the screen.
| Product | Market Share (%) |
|---|---|
| SentinelOne Singularity Cloud Security | 4.0% |
| Datadog | 1.9% |
| Other | 94.1% |

| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 48 |
| Midsize Enterprise | 20 |
| Large Enterprise | 54 |
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 Cloud Security offers a streamlined approach to cloud security with intuitive operation and strong integration capabilities for heightened threat detection and remediation efficiency.
Singularity Cloud Security stands out for its real-time detection and response, effectively minimizing detection and remediation timelines. Its automated remediation integrates smoothly with third-party tools enhancing operational efficiency. The comprehensive console ensures visibility and support for forensic investigations. Seamless platform integration and robust support for innovation are notable advantages. Areas for development include improved search functionality, affordability, better firewall capabilities for remote users, stable agents, comprehensive reporting, and efficient third-party integrations. Clarity in the interface, responsive support, and real-time alerting need enhancement, with a call for more automation and customization. Better scalability and cost-effective integration without compromising capabilities are desired.
What are SentinelOne Singularity Cloud Security's standout features?SentinelOne Singularity Cloud Security is deployed in industries needing robust cloud security posture management, endpoint protection, and threat hunting. Utilized frequently across AWS and Azure, it assists in monitoring, threat detection, and maintaining compliance in diverse environments while providing real-time alerts and recommendations for proactive threat management.
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