

Datadog and NETSCOUT vSTREAM are competing products in network performance monitoring and management. Datadog generally has a favorable position in pricing and support, while NETSCOUT vSTREAM is recognized for its advanced features, which may justify its higher cost.
Features: Datadog offers comprehensive cloud monitoring capabilities, scalability, and extensive integration options. It provides real-time performance monitoring across multiple environments. NETSCOUT vSTREAM delivers in-depth traffic analysis and packet-level visibility, enhancing network diagnostics and predictive insights. It excels in analyzing network data for troubleshooting and forecasting.
Ease of Deployment and Customer Service: Datadog is known for straightforward deployment, particularly in cloud environments, and provides responsive support. Its setup is typically quick and intuitive. In contrast, NETSCOUT vSTREAM has a complex deployment process due to its comprehensive network diagnostics but offers robust customer support to manage complexities.
Pricing and ROI: Datadog generally requires a lower initial investment, perceived as delivering good ROI through flexible pricing models and inclusive features. NETSCOUT vSTREAM involves a higher setup cost but is viewed as a valuable investment for its advanced network capabilities, potentially justifying the expenditure through specialized functionalities.
| Product | Market Share (%) |
|---|---|
| Datadog | 2.4% |
| NETSCOUT vSTREAM | 0.4% |
| Other | 97.2% |

| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
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 vSTREAM virtual appliance complements existing Adaptive Session Intelligence (ASI)-based instrumentation to provide the same level of visibility within virtualized and cloud infrastructures that is already possible in physical environments. The vSTREAM virtual appliance is ideal for monitoring service-critical traffic running within virtualized or cloud infrastructures, either locally on a host or as an aggregation point for multiple hosts. With complete visibility across physical, virtual and cloud networks, the vSTREAM virtual appliance presents real-time views of end-to-end call trace data and network-wide KPIs, to protect the reliability and availability of networks and application services.
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