Datadog and SentinelOne Singularity Cloud Security are key players in the cloud monitoring and security sector. Datadog leads in integration and user-friendly features, making it ideal for those prioritizing observability, while SentinelOne offers superior real-time security response suitable for security-focused scenarios.
Features: Datadog impresses with its user-friendly integration ecosystem that provides seamless observability across cloud services, focusing heavily on real-time alerts and monitoring. Users benefit from customizable dashboards and comprehensive metric tracking. SentinelOne stands out with its extensive security features and automation, offering real-time threat detection and effective incident response even for older systems, giving it an edge in security-specific applications.
Room for Improvement: Datadog could refine its interface navigation and enhance integration capabilities with third parties. Users find its billing model complex and call for more intuitive alerting and clearer documentation. SentinelOne’s interface could be less complex, and occasional slow alerts need addressing. Improving the customization of reports and tool integration to manage resource demands could enhance its value.
Ease of Deployment and Customer Service: Datadog offers straightforward integration across multiple cloud environments, focusing primarily on monitoring. Its customer support helps ease the setup process, although experiences vary. SentinelOne adapts well to diverse environments, especially on-premises and hybrid clouds, and is renowned for excellent customer service that enhances user experience with prompt and effective technical assistance.
Pricing and ROI: Datadog's pricing can be high, mostly in large data-intensive environments, yet it delivers a strong ROI by enhancing system reliability and efficiency, although it needs careful management to avoid unexpected costs. SentinelOne, with competitive pricing, offers excellent value through its security features and automation, appealing to cost-sensitive organizations seeking comprehensive security solutions.
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.
Cloud Native Security does offer ROI.
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.
These incidents are related to log service, indexes, and metric capturing issues.
It's a reliable solution that the organization is increasingly adopting for its robust features and security.
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.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
The AI aspect would be great where we would not need to go and look at different transactions or different modules of Datadog, as AI can actually provide the data to us on Datadog UI.
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.
I believe the enterprise version costs around $55 per user per year.
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 | 3.6% |
Datadog | 1.9% |
Other | 94.5% |
Company Size | Count |
---|---|
Small Business | 80 |
Midsize Enterprise | 46 |
Large Enterprise | 93 |
Company Size | Count |
---|---|
Small Business | 44 |
Midsize Enterprise | 20 |
Large Enterprise | 55 |
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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