


Datadog and VMware Aria Automation compete in the IT monitoring and automation space. Based on features and customer support, Datadog appears to have the upper hand due to its intuitive cloud-native capabilities and ease of integration.
Features: Datadog offers ease of use with its hosted nature, requiring no dedicated infrastructure. It features sharable dashboards, intuitive tagging, and seamless integration with major cloud providers, offering insights through a robust ecosystem. VMware Aria Automation excels in automation, providing flexible blueprints and strong orchestration capabilities. It enhances application delivery with a centralized portal.
Room for Improvement: Datadog could enhance performance for historical data access, refine dashboard sharing controls, and incorporate more AI-powered features. Additionally, its pricing model complexities could be better tailored to user needs. VMware Aria Automation is encouraged to improve documentation, simplify complex integrations, and expand cloud-native support. Licensing complexities also remain an area of concern.
Ease of Deployment and Customer Service: Datadog's SaaS model allows for easy deployment in cloud environments, with a customer service system recognized for proactive support and comprehensive documentation. VMware Aria Automation is suited for private and on-premises environments, requiring significant understanding for deployment. Its customer service is well-regarded but could have faster response times.
Pricing and ROI: Datadog's flexible, though sometimes confusing pricing model, can become costly with increased usage. However, its comprehensive services justify this for many. VMware Aria Automation, despite open-source components, can be expensive due to complex enterprise offerings. Initial investments can be significant, though ROI is seen in automation benefits. Both products necessitate a thorough evaluation to appreciate pricing structures effectively.
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.
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.
I see a lot of lack of knowledge and lack of training.
We never had major issues to report or request support.
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.
Until version six or seven, it was perfect.
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.
VCF 9 will bring VCF Automation and VCF Operations, the new product line of VMware.
It operates for both of my products, however, as a product, it is complicated to integrate and automate with other products.
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.
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 leverage VRO when the going gets tough. When something is not doable with the tools we have with VMware Aria Automation, we use the capabilities of VRO because it has many plugins for many things.
It helps us automate the workflow of creating many VMs and the TensorFlow key method.
We have strong regulations for maintaining compliance and mitigating risks with this product.
| Product | Mindshare (%) |
|---|---|
| Datadog | 2.6% |
| Qualys TotalCloud | 1.9% |
| VMware Aria Automation | 1.0% |
| Other | 94.5% |


| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 31 |
| Company Size | Count |
|---|---|
| Small Business | 82 |
| Midsize Enterprise | 49 |
| Large Enterprise | 100 |
| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 24 |
| Large Enterprise | 131 |
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.
VMware Aria Automation is known for its automation capabilities, integrating with VMware and third-party tools to enhance workflow efficiency, save time, and manage resources effectively.
VMware Aria Automation offers a diverse set of features including a self-service portal and a streamlined user-friendly interface, which make it ideal for organizations aiming to automate virtual machine provisioning. The platform supports extensive automation capabilities across multi-cloud environments, featuring flexible blueprint designs and comprehensive integration with platforms like AWS, Azure, and ServiceNow. Though improvements are desired in areas like logging, template management, and vCenter integration, its robust framework facilitates IT infrastructure services, disaster recovery, and development operations. It is specifically beneficial for orchestrating workflows, automating routine tasks, and managing workloads efficiently in private and hybrid cloud environments.
What are the most important features of VMware Aria Automation?VMware Aria Automation is implemented across industries for automating the provisioning of virtual machines and managing cloud environments. It is used in sectors requiring efficient server deployment, network configurations, and seamless integration with tools such as AWS and Azure. It aids in reducing manual efforts, supporting IT infrastructure services, and enhancing disaster recovery protocols.
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