

Datadog and Plixer Scrutinizer compete in the network monitoring and analytics category. Datadog seems to have the upper hand due to its comprehensive feature set and strong customer service.
Features: Datadog provides hosted services with sharable dashboards and seamless integrations with platforms such as AWS, Docker, and Slack, facilitating detailed monitoring capabilities. Plixer Scrutinizer offers advanced network traffic visualization, context-based security analytics, and enriched data correlation with external systems.
Room for Improvement: Datadog could improve cost control, usability, and integration robustness, with users noting pricing transparency and a steep learning curve as challenges. Plixer Scrutinizer users suggest simplifying the user interface, enhancing data visualization, and improving the reporting update process for scalability.
Ease of Deployment and Customer Service: Datadog supports various cloud deployments, including public, private, and hybrid clouds, with noted responsive customer service. Plixer Scrutinizer focuses on on-premises deployments, offering proactive customer service, although some users experience slower technical support during critical situations.
Pricing and ROI: Datadog employs a usage-based pricing model that can be expensive, but offers high ROI through rapid issue resolution and efficiency improvements. Plixer Scrutinizer's pricing is more transparent and competitive, appealing to those seeking good ROI from comprehensive network monitoring capabilities.
| Product | Market Share (%) |
|---|---|
| Datadog | 2.4% |
| Plixer Scrutinizer | 0.5% |
| Other | 97.1% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
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.
The Scrutinizer incident response system leverages network traffic analytics to provide active monitoring, visualization, and reporting of network and security incidents. The system quickly delivers the rich forensic data needed by IT professionals to support fast and efficient incident response.
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