OpenText Real User Monitoring and Datadog are two prominent monitoring tools. Datadog leads in features and ROI, making it a preferred choice for many users despite a higher price point.
Features: OpenText Real User Monitoring provides detailed real user data, comprehensive performance insights, and is appreciated for its ease of deployment. Datadog offers extensive integrations, versatile dashboard options, and advanced alerting capabilities. Datadog's broader feature set gives it an edge.
Room for Improvement: Users of OpenText Real User Monitoring point out its complex initial setup and occasional performance lags. Datadog users seek improved affordability and a more user-friendly learning curve. Datadog's cost issues are highlighted more.
Ease of Deployment and Customer Service: OpenText Real User Monitoring offers a straightforward deployment process and strong customer service support, leading to quicker resolution of issues. Datadog users appreciate its extensive documentation but face a steeper learning curve. OpenText Real User Monitoring provides a more seamless onboarding experience.
Pricing and ROI: OpenText Real User Monitoring has moderate setup costs and delivers satisfactory ROI according to user reviews. Datadog, while more expensive, is considered worth the price due to its robust features and higher user satisfaction in ROI. Datadog's perceived value makes it a justified investment despite higher costs.
Customer support needs to improve by bringing in more people who are knowledgeable about the tool, as there are very few left.
The diagnostics perspective, particularly in terms of the root cause analysis of failures, should be improved.
Compared to competitors, the pricing is very less.
It is mostly stable, and I would rate its stability at around nine out of ten.
The functions that Real User Monitor is intended for, which is to provide the availability and performance of a service, are valued.
Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.
Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.
What are the key features of Datadog?
What benefits and ROI should users look for in reviews?
Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.
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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