OpenText Real User Monitoring and Datadog are competing products in the performance monitoring category. Datadog seems to have the upper hand with its comprehensive features and robust data integration, favoring organizations prioritizing advanced analytics.
Features: OpenText Real User Monitoring offers real-time visibility, session-based data collection, and user interaction insights. Datadog provides extensive monitoring capabilities across diverse infrastructure and applications, seamless third-party service integrations, and a highly functional user interface.
Room for Improvement: OpenText could enhance data integration flexibility, broaden feature sets for larger infrastructure monitoring, and improve analytics tools. Datadog can improve its initial software deployment simplicity, enhance customer support for technical setups, and offer more cost-effective pricing models for small to medium enterprises.
Ease of Deployment and Customer Service: OpenText Real User Monitoring features a straightforward deployment process and responsive customer service, making it accessible for companies with limited technical expertise. Datadog requires more technical expertise during initial setup but offers comprehensive documentation and resource support.
Pricing and ROI: OpenText Real User Monitoring is generally a more cost-effective solution, attractive for smaller enterprises seeking quick returns on investment. Datadog, while potentially higher in initial setup costs, provides significant long-term ROI through its extensive scalability and feature set, appealing to larger organizations.
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.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.