

OpenText Real User Monitoring and Datadog compete in the application performance monitoring category. Datadog appears to have the upper hand due to its feature richness and extensive integrations, while OpenText excelled in pricing and customer support satisfaction.
Features: OpenText Real User Monitoring provides real-time insights into the end-user experience, allowing detailed visibility into application performance, tracks application traffic, and identifies issues proactively through threshold alerts. Datadog offers a consolidated monitoring platform covering infrastructure, APM, and logs, features customizable dashboards and reports, and provides a robust API with integrations across various platforms.
Room for Improvement: OpenText could expand its range of integrations and customization options, enhance its analytics capabilities, and improve documentation for complex setups. Datadog could simplify the setup process, improve pricing transparency, and enhance its high-usage cost management features.
Ease of Deployment and Customer Service: OpenText Real User Monitoring offers straightforward deployment and strong customer service, facilitating quick implementation and ongoing support. Datadog's setup can be complex due to its broad feature set, yet documentation and community support are effective, suiting organizations seeking comprehensive integration options.
Pricing and ROI: OpenText Real User Monitoring is competitively priced, focusing on cost-effective user insights that promise efficient ROI for moderate budgets. Datadog is positioned as a premium-priced solution for those willing to invest in a feature-rich offering, achieving justified ROI through its comprehensive monitoring capabilities and analytics.
| Product | Market Share (%) |
|---|---|
| Datadog | 5.5% |
| OpenText Real User Monitoring | 0.6% |
| Other | 93.9% |

| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 3 |
| Large Enterprise | 7 |
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.
Real User Monitoring (RUM) an End user monitoring that gives you visibility into user behavior for fast, targeted problem resolution. It monitors the performance and availability of business-critical application services for all users at all locations all the time. It automatically discovers underlying infrastructure and classifies user actions - giving you instant visibility into session and whole service health over web, cloud, and mobile user experience. It allows you to trace user experience across tiers, capture live sessions, see where customers clicked, measure response times, and see pages that caused problems. And you can easily capture and replay user sessions to create test scripts that reflect real user behavior. All this data gives you new ability to analyze which application transactions your users are performing and what application response they are experiencing. RUM currently supports over 20 application protocols and applications such as SAP, Citrix, and native mobile application monitoring on Android.
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