Datadog and SentinelOne Singularity Cloud Security are leading solutions in the cloud and security monitoring industry. While Datadog shines with ease of use and extensive integrations, SentinelOne offers superior threat detection and remediation features.
Features: Datadog provides hosted solutions, sharable dashboards, and extensive API integrations. Its intuitive monitoring capabilities and seamless AWS integrations are highly appreciated. SentinelOne excels with robust threat detection capabilities, automated remediation, and the Storyline visualization for comprehensive threat analysis.
Room for Improvement: Datadog could improve by refining its dashboard organization and enhancing real-time usage metrics. It also needs to enrich error traceability and pricing transparency. SentinelOne can improve its Storyline feature and broaden integrations with third-party apps. Reducing resource intensity and enhancing alert systems would be beneficial.
Ease of Deployment and Customer Service: Datadog is recognized for proactive customer support and is widely used in various cloud environments. However, its technical response times vary. SentinelOne provides quick responses and excels in public cloud implementations, though it sometimes faces delays in support response.
Pricing and ROI: Datadog follows a pay-as-you-go pricing model, which can be surprising, though it offers substantial ROI through time savings in debugging. SentinelOne is reasonably priced for its comprehensive features, providing modular pricing that fosters cost savings compared to competitors.
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 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.
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.
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.
There should be a clearer view of the expenses.
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.
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.
The technology itself is generally very useful.
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 | 3.7% |
Datadog | 1.9% |
Other | 94.4% |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Company Size | Count |
---|---|
Small Business | 44 |
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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