OpenText Real User Monitoring and Sentry are competing in the real user experience and application performance monitoring category. Sentry seems to have the upper hand due to its extensive features and higher long-term ROI despite higher costs.
What features are offered by OpenText Real User Monitoring in comparison to Sentry?OpenText Real User Monitoring provides comprehensive user monitoring, robust analytics, and superior ease of deployment. Sentry offers real-time error tracking, release management, and context-enriched logs, delivering more immediate and actionable insights.
What areas of improvement can be found in OpenText Real User Monitoring in comparison to Sentry?OpenText Real User Monitoring could improve its alerting system and integration capabilities. Sentry users suggest enhancements in its on-premises deployment options and more detailed user guides. OpenText Real User Monitoring’s integration limitations and Sentry's deployment limitations are frequently mentioned as drawbacks.
How is the ease of deployment and customer service of OpenText Real User Monitoring in comparison to Sentry?OpenText Real User Monitoring is easier to deploy with better initial setup support, but Sentry's customer service is more responsive and knowledgeable. Despite the simplicity in deployment, OpenText Real User Monitoring may not match Sentry's ongoing customer service quality.
What setup costs and ROI can be seen with OpenText Real User Monitoring in comparison to Sentry?OpenText Real User Monitoring is more cost-effective in initial setup costs, while Sentry is pricier but delivers a better long-term ROI due to its advanced feature set and comprehensive logging capabilities.
Product | Market Share (%) |
---|---|
Sentry | 5.8% |
OpenText Real User Monitoring | 0.4% |
Other | 93.8% |
Company Size | Count |
---|---|
Small Business | 2 |
Midsize Enterprise | 3 |
Large Enterprise | 7 |
Company Size | Count |
---|---|
Small Business | 7 |
Midsize Enterprise | 3 |
Large Enterprise | 3 |
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.
Sentry is a robust error management system known for real-time error tracking and integration with tools like Slack, GitLab, and Jira, benefiting those seeking comprehensive application performance insights.
Sentry offers a seamless platform to monitor errors in both front-end and back-end applications, providing real-time alerts and comprehensive event log context. With its integration capabilities, teams effectively track application metrics and access performance data without direct production access, ensuring enhanced reliability. Sentry's features such as event grouping and code trace logs linked to Git repositories highlight its utility in maintaining application efficiency. Enhanced security and regular updates make it a preferred choice over competitors. Despite some requests for improvements in automation and UI enhancements, Sentry remains invaluable for error management and application performance monitoring.
What are the key features of Sentry?In industries like technology, Sentry is crucial for monitoring errors in web applications, offering real-time alerts and performance tracking. It is frequently used in ETL processes to detect failures without direct developer access, benefiting teams who manage large-scale applications and databases efficiently.
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