

Datadog and NETSCOUT vSTREAM compete in the network and application monitoring category. NETSCOUT is often seen as having the upper hand due to its robust feature set, while Datadog stands out for its competitive pricing and customer support.
Features: Datadog provides monitoring and analytics, integrating seamlessly with real-time insights for comprehensive application visibility. NETSCOUT vSTREAM offers robust network traffic analytics, exceptional packet-level insight, and detailed network analysis capabilities, enhancing network visibility.
Ease of Deployment and Customer Service: Datadog features a straightforward SaaS deployment that simplifies setup and offers responsive customer service. NETSCOUT vSTREAM caters to enterprise environments, requiring more complex setups but provides extensive support for troubleshooting and maintenance.
Pricing and ROI: Datadog is recognized for competitive setup costs and flexible pricing models that provide promising ROI across different business sizes. NETSCOUT vSTREAM has higher upfront costs but is justified by its advanced features, potentially yielding high ROI through optimized network operations.
| Product | Market Share (%) |
|---|---|
| Datadog | 3.1% |
| NETSCOUT vSTREAM | 0.3% |
| Other | 96.6% |

| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 94 |
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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