


Datadog and TrendAI Vision One – Cloud Security are both strong contenders in the IT and security monitoring sector, each offering distinct capabilities. Datadog focuses on comprehensive monitoring and visualization, whereas TrendAI emphasizes strong security features. Based on the comparison, Datadog stands out for monitoring and integrations, while TrendAI Vision One is notable for its robust security approach.
Features: Datadog provides extensive monitoring capabilities that are easy to navigate, making infrastructure and application oversight efficient. Its dashboards unify monitoring efforts and support numerous integrations for seamless operations. TrendAI Vision One stands out with strong security features including intrusion prevention and vulnerability detection, offering real-time protection and compliance tracking to meet stringent security needs.
Room for Improvement: Datadog could enhance cost control, make its billing more straightforward, and bolster AI-driven analytics. While users appreciate its interface, there is a desire for more intuitive interactions and expanded integration capabilities. TrendAI Vision One could improve its alert system, offer more automation, clarify licensing, and provide comprehensive documentation to better assist users.
Ease of Deployment and Customer Service: Both platforms offer flexible deployment options across public, private, and hybrid clouds, emphasizing compatibility with existing systems. Datadog is well-regarded for its proactive customer support and onboarding experience, although some users report delays in technical support. Similarly, TrendAI Vision One provides solid customer service but could improve the responsiveness of its technical support.
Pricing and ROI: Datadog is seen as potentially expensive, especially for smaller operations, due to its usage-based billing, which can lead to unpredictable costs. However, its value in infrastructure management efficiency often justifies the cost. TrendAI Vision One is perceived as more moderately priced with scalable costs, potentially offering better cost predictability. Both products provide valuable ROI through asset management and time savings, with cost management being a key differentiator for users.
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.
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.
The product has proven to be reliable and compatible with our network infrastructure.
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.
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.
The technical support is good.
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.
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.
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.
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.
An integrated appliance from Trend Micro would streamline the process, providing customers with a pre-configured solution and removing dependencies on external hardware.
I would like to see more third-party integrations being added into Trend Vision One - Cloud Security, as it currently has a good amount of integrations but does not allow ingestion from many third-party solutions.
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.
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.
The pricing for Trend Vision One - Cloud Security is very straightforward; we are using credits for calculating the solution that is required, and in terms of setup cost and licensing, it is very flexible.
The Trend Vision One pricing is reasonable.
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.
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.
We are using Trend Vision One - Cloud Security for getting complete visibility of all the assets that exist within our cloud, and it helps us identify any sort of misconfigurations or fine-tuning that can be done to better our compliance.
| Product | Mindshare (%) |
|---|---|
| Datadog | 2.3% |
| Qualys TotalCloud | 1.4% |
| TrendAI Vision One – Cloud Security | 2.9% |
| Other | 93.4% |

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 3 |
| Large Enterprise | 28 |
| Company Size | Count |
|---|---|
| Small Business | 82 |
| Midsize Enterprise | 48 |
| Large Enterprise | 100 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 6 |
| Large Enterprise | 10 |
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.
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.
TrendAI Vision One – Cloud Security offers comprehensive protection across multi-cloud environments, featuring live detection and response capabilities that enhance security management. It provides advanced analytics, making it an ideal choice for DevOps and hybrid cloud implementations.
TrendAI Vision One – Cloud Security stands out with its centralized dashboard, offering enhanced threat detection and seamless visibility and control over security measures. It ensures robust vulnerability protection, virtual patching, and intrusion prevention without impacting server performance. The platform is compatible across cloud environments, making it suitable for continuous monitoring and protection. Although improvements are needed in pricing, automation, and integration with AWS and Azure, its capacity for live monitoring and compliance ensures a strong defence against threats.
What Are the Key Features?In industries such as corporate cloud infrastructure, data centers, and Kubernetes, TrendAI Vision One – Cloud Security is implemented to secure cloud infrastructure, ensuring intrusion prevention and microservices protection. It integrates well with platforms like AWS and Azure, enables workload and application security, and supports teams by offering continuous monitoring, alerts management, and vulnerability identification.
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