

Check Point CloudGuard CNAPP and Datadog compete in the cloud solutions category. Check Point CloudGuard CNAPP has an upper hand in compliance and security management, while Datadog excels in real-time monitoring and integrations.
Features: Check Point CloudGuard CNAPP offers comprehensive compliance and security management features, including IAM role management, threat intelligence, and policy compliance. These features cater to complex security needs. Datadog provides robust real-time monitoring and observability with a wide range of integrations and user-friendly analytics dashboards, favored for its ease in creating intuitive monitoring dashboards.
Room for Improvement: Check Point CloudGuard CNAPP could improve in policy validation before deployment, integration with third-party tools, and enhanced documentation and automation capabilities. Datadog could benefit from better integration with enterprise-scale solutions, more real-time usage metrics, price predictability, and improved incident management and alert customization controls.
Ease of Deployment and Customer Service: Both products offer versatile deployment options suitable for public, private, and hybrid clouds. Check Point CloudGuard CNAPP is praised for integration with existing security processes but needs a more streamlined user interface and setup process. Datadog's deployment is straightforward, but users find feature navigation complex. Customer support is generally well-received for both, with Datadog commended for proactive support and Check Point for detailed guidance, although both could improve responsiveness and support tier structure.
Pricing and ROI: Check Point CloudGuard CNAPP uses a licensing model based on cloud infrastructure size, which may be inflexible for some users. Though initial setup costs are high, ROI is evident in enhanced security and operational efficiencies. Datadog offers a more granular usage-based pricing model, offering flexibility but potentially leading to unexpected costs. While priced higher, Datadog's robust monitoring capabilities provide value, though clearer pricing component understanding is desired. Both solutions bring significant returns in risk reduction and operational improvements.
The compliance has improved as our overall compliance score against CIS benchmark has improved from around 72 to 92% within the first three months of adoption.
This helped my team cut manual review time by roughly twenty to twenty-five percent, allowing me to reallocate effort to proactive cloud security improvements.
Monitoring cloud security automatically ensures a return on investment.
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.
When I need help or have open questions, or if I require the capability to deploy a quick test environment, there are always people I can contact at Check Point to get my information or the environment as fast as I need it.
I have a dedicated support engineer and a presales engineer dedicated to me.
Customer support for Check Point CloudGuard CNAPP has been responsive and knowledgeable.
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.
Visibility scales without performance issues as my environment expands.
Check Point CloudGuard CNAPP scales efficiently in the multi-cloud environment.
I never had any performance-related issues.
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.
If there are errors, it is sometimes challenging to elaborate or troubleshoot since it is not transparent enough to understand what to search for.
It is rapidly evolving, and sometimes mistakes occur, necessitating testing.
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 need more integration from the code-to-cloud principle.
It would be nice to have periodic updates on what people should do, maybe with some analysis or something.
I require consistency in the user interface to ensure everything is streamlined into the same look and feel.
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.
In terms of ROI, we can see time savings for audit preparation of at least 30-40%.
It is not cheap, of course, yet it is a necessity.
From a licensing and cost perspective, it is really competitive.
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.
One of the main reasons we use the solution is that it is great at identifying risks that are critical to our business.
The CDR helps detect anomalous behavior and respond to threats before they become an issue.
Check Point CloudGuard CNAPP offers a unified, modular platform that combines CSPM, CWPP, CIEM, code security, and cloud detection and response.
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.
| Product | Mindshare (%) |
|---|---|
| Datadog | 2.3% |
| Check Point CloudGuard CNAPP | 3.6% |
| Other | 94.1% |

| Company Size | Count |
|---|---|
| Small Business | 56 |
| Midsize Enterprise | 15 |
| Large Enterprise | 58 |
| Company Size | Count |
|---|---|
| Small Business | 82 |
| Midsize Enterprise | 47 |
| Large Enterprise | 100 |
Check Point CloudGuard CNAPP offers comprehensive cloud security with features like dynamic access control, asset protection, and compliance checks, tailored for organizations seeking enhanced governance across AWS, Azure, and GCP platforms.
Check Point CloudGuard CNAPP provides robust capabilities, including centralized firewall management, IAM scanning, and real-time visibility. Its strengths lie in predictive visualization, threat intelligence, and auto-remediation, making it a valuable tool for risk mitigation and compliance management. The platform's integration and responsiveness enhance cloud security, ensuring alignment with industry standards and effective threat protection.
What are the key features of Check Point CloudGuard CNAPP?Organizations in finance, healthcare, and retail frequently implement Check Point CloudGuard CNAPP for compliance and security across cloud environments. It assists with workload protection, threat detection, and regulatory obligation fulfillment, proving effective for securing applications and monitoring API interactions.
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.
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