

Datadog and Cisco Secure Network Analytics compete in the monitoring and analytics category. Datadog seems to have the upper hand with its flexibility, extensive integrations, and multi-environment support, while Cisco excels in network security insights.
Features: Datadog offers cloud-hosted monitoring and logging capabilities with user-friendly dashboards, powerful analytics, and extensive integrations that allow seamless interaction with tools like AWS and Docker. Its ability to manage infrastructure without dedicated hardware makes it highly efficient. Cisco Secure Network Analytics provides network-focused insights using deep packet analysis for robust security and anomaly detection, offering a comprehensive view of network activities. Its built-in threat intelligence and traffic analysis provide additional value.
Room for Improvement: Datadog users face challenges with interface complexity, integration consistency, and cost management. Improvements are desired in AI capabilities, security monitoring, and more intuitive navigation. Cisco Secure Network Analytics could enhance integration with other systems, improve user intuitiveness for easier navigation, and improve cost management due to its higher pricing tier.
Ease of Deployment and Customer Service: Datadog supports deployment in public, private, and hybrid clouds, offering responsive customer service with proactive but variable feedback on speed. Cisco Secure Network Analytics focuses on on-premises deployment, aligning with enterprises that emphasize internal network security. Its technical support is proactive but sometimes lacks the necessary depth in complex scenarios.
Pricing and ROI: Datadog's flexible pay-as-you-go pricing model can become expensive without careful monitoring. However, it provides significant ROI through time savings and downtime reduction. Cisco Secure Network Analytics is considered costly, especially for smaller companies, with complexities in flow-based licensing. Although it delivers value through comprehensive security insights, its high costs pose challenges for ROI.
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.
There is a lack of adequate local support from the Indian side.
For technical support of Cisco, the support they provide depends on how the client procures it, and so far, it's understandable.
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.
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.
Cisco products are incredibly stable, boasting a 200% stability.
Once resolved, the system works well, and overall I think it's good.
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.
The solution should have the ability to analyze security events not only at the network layer but also at the application and OS layers.
Proper management of the database is also important; it should be centralized for easier data collection from a single database.
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.
Cisco solutions are considered to be very expensive.
Regarding cost, for the Bangladesh context, Cisco Secure Network Analytics is a little bit high-priced because we are a developing country, making it tough to manage affordable solutions.
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 most valuable features include encrypted traffic analytics and the ability to fulfill requirements at the network level.
Every solution is gradually integrated with AI, and Cisco has already implemented AI building features in their solution.
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% |
| Cisco Secure Network Analytics | 0.9% |
| Other | 96.7% |


| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 7 |
| Large Enterprise | 52 |
| Company Size | Count |
|---|---|
| Small Business | 82 |
| Midsize Enterprise | 47 |
| Large Enterprise | 100 |
Cisco Secure Network Analytics enhances network security through integrated threat detection and detailed traffic visibility, optimizing performance with AI analytics and strong platform integrations.
Cisco Secure Network Analytics offers deep visibility into network traffic, with tools like network maps and server response times. Its AI-driven analytics help detect threats, focusing on east-west traffic. Integration with platforms such as pxGrid and ISE complements its capabilities. Reporting and telemetry help in identifying bandwidth issues, yet improvements are desired in AI for better data organization. Installation complexity and false positives present challenges, and managing network loads effectively is a recognized need.
What are the key features of Cisco Secure Network Analytics?Industries such as banking, defense, and police rely on Cisco Secure Network Analytics for securing networks against threats. Its capability to provide insights into encrypted traffic and facilitate device auditing makes it a sought-after choice for those requiring extensive network visibility. Users appreciate its application for threat prevention and response in demanding sectors.
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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