


Cloudflare and Datadog are both leaders in the technology sector, competing in security and observability. While Cloudflare excels in web security and performance optimization, Datadog leads with its comprehensive monitoring and analytics capabilities.
Features: Cloudflare is known for its powerful DDoS protection, advanced caching techniques, and top-notch DNS management. These features enhance both security and website performance. Datadog stands out with its integrated monitoring tools that provide detailed insights and metrics visualization, enabling effective infrastructure management and application performance monitoring.
Room for Improvement: Cloudflare users frequently request enhanced analytics and more responsive support, particularly at the entry-level. Improvements in documentation and customer service responsiveness are also noted. Datadog faces criticism for its pricing model complexity and its high costs, leading to suggestions for better cost management tools and improved ease of use for new users.
Ease of Deployment and Customer Service: Both Cloudflare and Datadog offer strong customer support, but Cloudflare's support responsiveness sometimes falls short for non-enterprise users. Datadog's extensive feature set can be overwhelming without adequate training. Deployment is generally considered easier with Cloudflare, especially for basic security needs, whereas Datadog requires more training for its advanced cloud integration options.
Pricing and ROI: Cloudflare provides a range of pricing options, including a strong free tier, making it an attractive option for small-scale or personal use. However, prices can escalate as usage scales. Datadog features a usage-based pricing model, which can quickly become expensive, posing challenges for smaller organizations despite its comprehensive service suite potentially delivering strong ROI for detailed observability and monitoring.
It has saved about 90% of our time.
TotalCloud has generated overall savings of 30 to 40 percent across various departments.
CallStream helps us integrate and automate tasks.
For the small project I was working on, using the basic tier provided a huge improvement at zero cost.
In terms of return on investment with Cloudflare, it costs my time to set them up, but basically once they're set up, it's done.
The return on investment for me is significant as time is the critical aspect.
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.
They are helpful, respond to my queries, and can answer any question.
Qualys's tech support is highly responsive, providing multiple ways to interact with them.
Qualys' customer service provides quality answers, but the response time is long, even though it is within the SLA.
Cloudflare does not offer hands-on technical support to fix customer problems but rather a self-service model.
I would rate the technical support with Cloudflare as excellent every time I've had to call them.
We use other solutions where support is available through Slack channels and is more interactive, with someone responding within a couple of minutes or seconds.
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.
We started our organization about nine months back. We started with about 30 users, and we now have more than 100 users.
Our organization currently uses it to manage over 1200 web applications.
It is absolutely scalable, and I would rate its scalability as nine out of ten.
It is a SaaS tool, but the fact that they have workloads deployed across the world proves that it is a highly scalable tool.
The tool offers very good performance, even during high-traffic periods.
Cloudflare's scalability is quite good; it is very easy to scale whenever we want to include multiple domains.
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.
Overall, the support provided has been excellent.
It is a stable solution, which is why we chose it.
Continuous monitoring is crucial to ensure system stability and avoid vulnerabilities or threats.
The service is very stable with no impacts during high-traffic periods.
Cloudflare's reliability and uptime has met my expectations; it has been quite good in general.
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.
Ideally, the scanner should automatically detect and scan all subdomains, even if not explicitly defined, ensuring comprehensive vulnerability assessment.
Ideally, updates should be more immediate, enabling quicker implementation of solutions.
Our goal is to integrate all these functions into Qualys, creating a single dashboard for comprehensive security monitoring and management.
Customers do not have options to modify any configuration parameters in Cloudflare, whereas other competitor solutions, such as F5 Distributed Cloud, allow customers to tune configurations according to their requirements.
What Cloudflare is doing internally is that it is stepping ahead in areas like detection and protection.
Cloudflare could be improved by introducing a mid-tier pricing option.
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.
Qualys TotalCloud's pricing is currently acceptable, it is becoming increasingly expensive.
Pricing is managed by our finance team; however, Qualys TotalCloud offers cost-effective licensing flexibility.
Qualys TotalCloud is expensive, but it offers a premier solution with no headaches.
I find it to be cheap.
The tool is a premium product, so it is very expensive.
However, the enterprise price for small projects is a bit high.
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.
This view of risk helps reduce the work we would have to do to combine multiple sources to prioritize risk.
It will help cybersecurity professionals monitor the cloud and find vulnerabilities.
We are enjoying the new feature, FlexScan, which is valuable for Internet-facing VMs.
The solution has been able to compare it to the market, and I think the product has taken great strides in automating quite a bit of things, and they use a lot of AI.
Most of our DNS records that are presented to the internet are proxied whenever possible, providing another layer of defense from our perspective.
Cloudflare has positively impacted our organization by giving us flexibility to manage the DNS part, being quite fast, and allowing us to manage everything from a single dashboard.
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 | 2.4% |
| Qualys TotalCloud | 1.6% |
| Cloudflare | 1.9% |
| Other | 94.1% |


| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 3 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 11 |
| Large Enterprise | 26 |
| Company Size | Count |
|---|---|
| Small Business | 82 |
| Midsize Enterprise | 49 |
| Large Enterprise | 100 |
Qualys TotalCloud enhances security posture across cloud environments with continuous monitoring, vulnerability management, and risk visualization, ensuring efficient threat assessment and automated remediation for improved cyber risk reduction.
Qualys TotalCloud offers a robust suite of security tools essential for organizations managing multi-cloud infrastructures. By integrating cloud accounts and automating workflows, it supports AWS, Azure, and GCP, offering comprehensive vulnerability management and zero-day detection. The platform's user-friendly design, combined with its extensive risk management and unified threat assessment capabilities, enables organizations to prioritize and remediate vulnerabilities effectively. TruRisk Insights provides clear insights on cyber risks, while the automation options streamline patch management and scanning processes. API integration across IaaS and SaaS environments further enhances resource allocation efficiency and saves time, addressing misconfigurations across cloud environments.
What are the most important features of Qualys TotalCloud?Qualys TotalCloud is deployed in sectors needing rigorous vulnerability management, such as finance and healthcare. Companies utilize it to secure multi-cloud environments like AWS, Azure, and GCP, focus on compliance, and integrate security into CI/CD pipelines to detect and remedy threats pre-deployment.
Cloudflare enhances web performance and security with features like CDN caching and DDoS mitigation while providing easy DNS management and intuitive setup through its user-friendly dashboard.
Cloudflare is recognized for its comprehensive web security and performance solutions. Speed improvements are achieved through caching mechanisms and DDoS protection, combining ease of DNS management with flexible page rules. The robust analytics and threat insight tools provide valuable data, assisted by a user-friendly dashboard allowing quick setup and configuration. An API offers dynamic DNS settings ensuring low latency and high performance across the globe.
What are Cloudflare's key features?
What benefits and ROI should users evaluate?
Cloudflare finds utility across industries for DNS management and defense mechanisms. Its content delivery network assures fast content distribution and fortified security. Businesses integrate features like web application firewalls, load balancing, end-to-end SSL, and zero trust to protect websites from cyber threats while ensuring resilience and reliable performance.
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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