1. [Home](https://www.g2.com/) 2. [Monitoring Software](https://www.g2.com/categories/monitoring) 3. [Enterprise Monitoring Software](https://www.g2.com/categories/enterprise-monitoring) 4. [Datadog](https://www.g2.com/products/datadog/reviews) 5. Real User Monitoring (RUM) Reviews ![Real User Monitoring (RUM)](https://images.g2crowd.com/uploads/product/hd_favicon/1498834114/datadog.svg "Real User Monitoring (RUM)") Real User Monitoring (RUM) By [Datadog](https://www.g2.com/sellers/datadog) 4.4/5(739) This rating reflects the full Datadog suite ## About Real User Monitoring (RUM) Datadog Real User Monitoring (RUM) provides full visibility into every user session across web and mobile applications, helping engineering and SRE teams detect, investigate, and troubleshoot frontend performance issues. By correlating real user behavior with logs, traces, and backend metrics in a single platform, RUM enables teams to resolve errors faster, optimize application performance, and deliver better digital experiences. \*\*Error Detection & Troubleshooting\*\* RUM automatically surfaces critical issues by grouping high-volume errors into actionable insights. It pinpoints the root cause of JavaScript errors down to the exact line of code, identifies affected user segments, and prioritizes fixes based on business impact. Error Tracking automatically groups related errors into issues with full stack traces and session context, enabling faster triage and resolution. \*\*Unified Full-Stack Telemetry\*\* RUM unifies frontend and backend monitoring to eliminate silos between teams. It seamlessly pivots from RUM data to backend traces and logs to accelerate root cause analysis, and integrates with Datadog APM so that distributed traces are automatically linked to real-user sessions. Teams can also simulate user journeys with Synthetic Monitoring and correlate results with real user sessions for a complete picture of application health. \*\*Browser & Mobile Performance\*\* For web applications, RUM measures key performance metrics including Core Web Vitals (Largest Contentful Paint, Interaction to Next Paint, Cumulative Layout Shift), First Contentful Paint, and overall loading time. For mobile apps on Android, iOS, React Native, Flutter, Roku, and more, RUM tracks crash-free sessions, fatal crashes, Time to Initial Display (TTID), Time to Full Display (TTFD), ANR rates, and other Mobile Vitals. Mobile application launch monitoring captures cold, warm, and prewarmed startup performance with industry-standard metrics. \*\*Session Replay & Heatmaps\*\* RUM recreates real user sessions with pixel-perfect accuracy using Session Replay, enabling teams to diagnose issues and identify hidden friction points such as rage clicks. Heatmaps — including Click Maps and Scroll Maps — organize sessions into visualizations that reveal where users focus their attention and which areas they may be avoiding due to performance issues. \*\*Browser Profiling\*\* RUM connects degraded performance signals to the exact JavaScript functions responsible for slowdowns using production profiling data captured from real user sessions. Aggregated profiling views surface the most CPU-consuming functions by page, route, or performance metric, and profiling snapshots can be compared side-by-side across application versions or deployment stages. \*\*RUM Without Limits™\*\* RUM Without Limits™ decouples sampling from ingestion, enabling teams to capture 100% of user sessions while selectively retaining the most valuable data — prioritizing errors, key user segments, and critical workflows. Over 30 out-of-the-box performance metrics are retained for 15 months to support long-term trend analysis and historical investigations. \*\*Custom Data & Metrics\*\* Teams can enrich session data with custom user IDs, capture business-critical user actions (such as checkout clicks), and ingest custom metrics correlated with real-time performance data. RUM-based metrics can be used to build dashboards, monitors, and SLOs for tracking historical trends in user experience and application health. \*\*Platform & Framework Support\*\* Datadog RUM supports browser applications as well as mobile platforms including Android, iOS, React Native, Flutter, Kotlin Multiplatform, .NET MAUI, Unity, watchOS, and visionOS, making it suitable for teams building across diverse technology stacks. Show More ## Real User Monitoring (RUM) Integrations 22 Integrations Datadog APM (Application Performance Monitoring) Datadog Synthetic Monitoring Datadog Session Replay Datadog Logs Datadog Error Tracking Datadog CI Visibility Datadog Sensitive Data Scanner Datadog Dashboards & Monitors Datadog SLOs (Service Level Objectives) OpenTelemetry (W3C and B3 trace header support) React / React Native Flutter Android SDK iOS SDK (dd-sdk-ios) Kotlin Multiplatform .NET MAUI (NuGet SDK) Unity (Unity Package Manager / OpenUPM) watchOS visionOS Cypress (end-to-end test integration) Bits AI (natural language profiling analysis) MCP (Model Context Protocol) tools Show more ## Real User Monitoring (RUM) Features - Full user session visibility across web and mobile applications - Automatic error grouping and Error Tracking with full stack traces - Core Web Vitals monitoring (LCP, INP, CLS, FCP) for browser apps - Mobile Vitals tracking: crash-free sessions, TTID, TTFD, ANR rates, and app startup performance - Session Replay with pixel-perfect visual recreation of user journeys - Heatmaps: Click Maps and Scroll Maps for user behavior analysis - Browser Profiling to trace performance slowdowns to exact JavaScript functions - RUM Without Limits™: 100% session capture with flexible retention filters - Seamless APM integration: pivot from frontend RUM data to backend distributed traces - Synthetic Monitoring correlation: compare real user and synthetic test sessions side-by-side - RUM Explorer for querying and filtering sessions, errors, actions, and resources - Custom metrics generation from RUM events with 15-month retention - Custom user IDs and business-critical action tracking (e.g., checkout clicks) - Release tracking and regression detection for smooth app rollouts - Micro-frontend observability with automatic service attribution via build plugin - Operations Monitoring for tracking critical user workflow success rates and SLOs - Sensitive Data Scanner integration to redact sensitive data from RUM sessions - Support for CI/CD test visibility via integration with Cypress and CI Visibility - Geo Maps, Funnels, and out-of-the-box dashboards for UX analysis - Multi-platform SDK support: Android, iOS, React Native, Flutter, .NET MAUI, Unity, watchOS, visionOS Show more ## Reviews mentioning Real User Monitoring (RUM) in Datadog ![Pavan kumar S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Pavan kumar S.") PS Pavan kumar S. Cloud Engineer Small-Business (50 or fewer emp.) 11/26/2025 "Effortless Monitoring Across Platforms with Datadog" 4.5/5 What do you like best about Datadog? A lot to consider about Datadog: mainly, it is used to monitor a wide range of applications and infrastructure. Application monitoring for container-based, server-based, and web-based applications. Also, it reduces the human effort for checking the exact error. It is easy to use and supports different kinds of platforms like AWS, Azure, and GCP. Installation is very easy. Datadog provides all the required documents for integrating the agent. We can use the predefined dashboard templates many times, which is a lifesaver if we have repeated monitoring services. Large-scale monitoring services and tracking are very easy, and the UI is clean, and we can find every service and access the running process via UI as well.! Review collected by and hosted on G2.com. What do you dislike about Datadog? There are only a few things that I was not satisfied with Datadog, those are. Cost is somewhat high; we have to pay even we utilize the resources or not. And the main con is the customer support; they only deal via email, and we have to dump the log data into their storage. They first analyse the logs and come back to us; it will typically take 24-36 hours, which has an impact on the clients. Also, they only come on a call on production issues. Review collected by and hosted on G2.com. What problems is Datadog solving and how is that benefiting you? Wide range, like we need to sit in front of the servers or app all the time. If there is any error, it will send an email or notifications regarding the error. So no need to worry. Review collected by and hosted on G2.com. Show More 8/21/2026 (At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review.) Current User (The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.)Validated Reviewer (Validated through Google using a business email account)Incentivized (This reviewer was offered a nominal gift card as thank you for completing this review.)Source: G2 invite (Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.) (Copy Review URL) ![Aditya M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Aditya M.") AM Aditya M. Information Technology Operations Manager Information Technology and Services Mid-Market (51-1000 emp.) 10/5/2026 "Helpful monitoring without the hassle" 4.5/5 What do you like best about Datadog? It’s really helpful when we have a slow application or an issue that’s hard to track down. I can quickly see which service or request is causing the problem instead of going through different logs manually. It makes troubleshooting a lot quicker, especially when we’re dealing with issues across multiple services. Review collected by and hosted on G2.com. What do you dislike about Datadog? One limitation I’ve noticed with Datadog is the pricing around log ingestion. If you have a lot of logs coming in, the costs can add up pretty quickly, especially in a larger environment. We have to be selective about what we send to Datadog and keep an eye on usage so the bill doesn’t grow unexpectedly. Review collected by and hosted on G2.com. What problems is Datadog solving and how is that benefiting you? Datadog mainly helps us avoid spending too much time trying to figure out where an issue is coming from. We can monitor our applications, infrastructure, and logs in one place, which makes it easier to spot problems and troubleshoot them. The alerts are also useful because we can know about an issue before users start reporting it. For me, the biggest benefit is that the team can respond faster and spend less time jumping between different monitoring tools. Review collected by and hosted on G2.com. Show More Validated Reviewer (Validated through LinkedIn)Source: Organic (Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.) (Copy Review URL) ![Aditya J.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Aditya J.") AJ Aditya J. Security Delivery Analyst - Identity and Access Management Enterprise (\> 1000 emp.) 7/17/2026 "Enterprise Observability and Monitoring at Scale with Datadog" 3.5/5 What do you like best about Datadog? What I like best about Datadog is its ability to provide deep observability across infrastructure, applications, logs, cloud services, and identity platforms from a single pane of glass. Having used Datadog for an extended period, I've found its dashboards, alerting capabilities, and correlation between metrics, logs, and traces to be extremely valuable for both proactive monitoring and incident response. As an administrator, I appreciate the flexibility in creating custom dashboards, configuring monitors, and tuning alerts to reduce noise while ensuring critical issues are detected early. The platform's extensive integration ecosystem makes it easy to onboard new services, and features such as anomaly detection, log analytics, and service mapping significantly improve troubleshooting efficiency. Overall, Datadog has helped streamline operations, reduce mean time to resolution (MTTR), and provide actionable insights that support both day-to-day monitoring and long-term platform optimization. Review collected by and hosted on G2.com. What do you dislike about Datadog? While Datadog is a mature and feature-rich platform, one area that can be challenging is cost management at scale. As environments grow and more teams onboard services, log ingestion, custom metrics, and data retention costs require ongoing optimization and governance. I've also found that in large enterprise deployments, alert tuning and monitor management need regular review to avoid alert fatigue and maintain signal-to-noise quality. Another area for improvement is that some advanced configurations and cross-product features can have a learning curve for newer administrators. While the platform offers tremendous flexibility, fully leveraging its capabilities often requires experience and a well-defined monitoring strategy. That said, these challenges are common for enterprise observability platforms, and the operational benefits Datadog provides generally outweigh the drawbacks. Review collected by and hosted on G2.com. What problems is Datadog solving and how is that benefiting you? Datadog solves the challenge of maintaining visibility across complex, distributed environments by bringing infrastructure metrics, application performance, logs, traces, security signals, and cloud services into a single observability platform. Prior to adopting Datadog, troubleshooting often required switching between multiple tools and manually correlating data from different sources. As a long-time user and administrator, I've found that Datadog significantly improves operational efficiency by enabling teams to quickly identify performance bottlenecks, detect anomalies, and investigate incidents from a centralized interface. The ability to correlate metrics, logs, and traces has greatly reduced troubleshooting time and improved root cause analysis. Datadog has also helped us implement a more proactive monitoring approach through intelligent alerting, anomaly detection, and service health visibility. This has contributed to faster incident response, reduced downtime, improved system reliability, and better overall user experience. From an operations perspective, it has become a critical platform for maintaining service health and supporting informed decision-making across teams. Review collected by and hosted on G2.com. Show More Current User (The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.)Validated Reviewer (Validated through LinkedIn)Source: Organic (Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.) (Copy Review URL) AS Anshul S. SDET Mid-Market (51-1000 emp.) 6/30/2026 "Datadog: Unified Logs, Metrics & Traces for Real-Time Visibility and Faster Debugging" 4.5/5 What do you like best about Datadog? One of the biggest strengths of Datadog is how it brings logs, metrics, traces, and alerts into a single platform. Instead of switching between multiple monitoring tools, I can quickly identify what's happening across the entire application stack. Comprehensive dashboards that provide real-time visibility into application health. Powerful log search and filtering for faster root cause analysis. APM (Application Performance Monitoring) that helps identify performance bottlenecks. Intelligent alerting that notifies the team before issues significantly impact users. Seamless integrations with cloud services, databases, CI/CD pipelines, and infrastructure tools. In my QA and automation workflow, Datadog significantly reduces the time required to investigate production issues. Rather than relying solely on application logs, I can correlate metrics, traces, and logs to pinpoint the exact cause of a problem. This makes debugging much faster and improves collaboration between QA, developers, and DevOps teams. Overall, Datadog provides the visibility needed to proactively monitor systems, troubleshoot issues efficiently, and maintain application reliability. Review collected by and hosted on G2.com. What do you dislike about Datadog? Although Datadog is one of the most comprehensive monitoring tools I've used, there are a few areas where it could improve. Pricing can become expensive as the number of hosts, logs, and monitored services increases. The large number of features can make the platform overwhelming for new users. Building advanced dashboards and queries sometimes requires a learning curve. High log volumes need careful management to avoid unnecessary costs. Some alerts require fine-tuning to reduce noise and avoid alert fatigue. For me, the biggest challenge is cost management. As monitoring requirements grow, it's important to optimize log retention, dashboards, and alert configurations to keep expenses under control. Review collected by and hosted on G2.com. What problems is Datadog solving and how is that benefiting you? Datadog solves the problem of limited visibility into application performance and infrastructure health. Instead of checking multiple tools for logs, metrics, traces, and alerts, Datadog centralizes everything into a single platform, making monitoring and troubleshooting much more efficient. Detects application and infrastructure issues in real time. Centralizes logs, metrics, traces, and performance data. Speeds up root cause analysis during production incidents. Provides proactive alerts before issues impact end users. Helps monitor APIs, servers, databases, and cloud services from one dashboard. I use Datadog to investigate production issues, validate deployments, monitor API health, and analyze application performance. Having all the relevant telemetry in one place helps me identify problems much faster and collaborate effectively with developers and DevOps teams. The biggest benefit is reduced incident resolution time. By quickly correlating logs, metrics, and traces, Datadog helps the team diagnose issues faster, minimize downtime, and deliver a more reliable experience for users. Review collected by and hosted on G2.com. Show More 7/4/2026 (At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review.) Current User (The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.)Validated Reviewer (Validated through a business email account)Incentivized (This reviewer was offered a nominal gift card as thank you for completing this review.)Source: G2 invite (Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.) (Copy Review URL) ![Anshuman S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Anshuman S.") AS Anshuman S. Advance Software Engineer Mid-Market (51-1000 emp.) 9/10/2026 "All-in-One Observability with Great Cloud Integrations and a User-Friendly UI" 4.5/5 What do you like best about Datadog? It is an all-in-one Observability tool which is a combination of infrastructure metrics, application logs, application performance monitoring, real user monitoring, and security monitoring. It has very good integrations with almost all cloud providers. The User Interface is very user-friendly. Review collected by and hosted on G2.com. What do you dislike about Datadog? It's very costly. Sending application logs to Datadog can lead to unpredictable costs. Providing add-on features is a very complex task. It's difficult to learn for new users. Review collected by and hosted on G2.com. What problems is Datadog solving and how is that benefiting you? Despite the cost, I love this tool. It helps in identifying real-time issues very quickly. We can easily identify slowness using APM metrics or which API is taking more time. Identifying 5xx errors becomes very easy using this tool. Review collected by and hosted on G2.com. Show More Current User (The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.)Validated Reviewer (Validated through LinkedIn)Incentivized (This reviewer was offered a nominal incentive as thanks for completing this review.)Source: G2 invite (Invitation from G2. This reviewer was offered a nominal incentive as thanks for completing this review.) (Copy Review URL) ![Bertrand P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bertrand P.") BP Bertrand P. Senior Product & Digital Transformation Leader Retail Enterprise (\> 1000 emp.) 6/26/2026 "Faster incident detection and root-cause analysis, leading to better customer experience." 4.5/5 What do you like best about Datadog? As a product manager what I like most about Datadog is how it centralizes observability for complex systems in a single platform. It brings metrics, logs, traces, and alerts together in one place, making it much easier to understand overall system health and troubleshoot issues quickly for runners and support teams. Onboarding tech teams is easy. Its real-time monitoring and alerting are especially valuable because they help detect incidents early and improve response times. I also appreciate the breadth and depth of integrations with cloud providers, infrastructure tools, and application services, which makes Datadog adaptable across different architectures. Depending the implementation the price can evolve but you are fully mastering the cost. Overall, it delivers strong visibility and control over system performance, which feels essential in modern distributed environments at scale. Perspectives to use it coupling with AI support agent is a plus to prepare the future. Review collected by and hosted on G2.com. What do you dislike about Datadog? The tool provide insights and data but teams have to spend significant time interpreting what action should be taken. Review collected by and hosted on G2.com. What problems is Datadog solving and how is that benefiting you? It centralizes application supervision and infrastructure monitoring, helping detect incidents faster. It also makes it easier to understand root causes and improve digital reliability. Review collected by and hosted on G2.com. Show More Current User (The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.)Validated Reviewer (Validated through LinkedIn)Incentivized (This reviewer was offered a nominal gift card as thank you for completing this review.)Source: G2 invite (Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.) (Copy Review URL) ![Zaid K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Zaid K.") ZK Zaid K. Senior devops engineer Enterprise (\> 1000 emp.) 7/21/2026 "Comprehensive Monitoring with Easy Integration" 4.5/5 What do you like best about Datadog? I use Datadog for monitoring, and it helps me in a lot of ways. It shows in-depth logs of the systems and provides a comprehensive view of metrics. There are lots of metrics, and the integration is very simple, especially with Terraform. It offers a good view of metrics, which is really valuable for me. I appreciate being able to create my own dashboards and metrics. The setup was quite easy, and we received support from the data ops team to integrate it with the systems. Review collected by and hosted on G2.com. What do you dislike about Datadog? I think Datadog's anomaly detection is quite basic in alerting me. I would like it to be enhanced to provide more detailed warning alerts. Review collected by and hosted on G2.com. What problems is Datadog solving and how is that benefiting you? I use Datadog for monitoring, providing in-depth logs and metrics. It simplifies integration, especially with Terraform, and offers a good view of metrics, making it easier to handle multiple instances and identify issues like memory leaks. Review collected by and hosted on G2.com. Show More Validated Reviewer (Validated through LinkedIn)Source: Organic (Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.) (Copy Review URL) ![Gunther C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Gunther C.") GC Gunther C. Software Engineer Mid-Market (51-1000 emp.) 6/5/2026 "Easy Datadog Integration with Powerful, Insightful Dashboards" 5/5 What do you like best about Datadog? I like how easy datadog is to integrate with existing systems. Once set up it provides an incredibly useful view into the status and state of application health. It's dashboards are very easy to create and are a valuable method for gathering key information all in one place. Review collected by and hosted on G2.com. What do you dislike about Datadog? I have few complaints about Datadog, I think it becomes more valuable the more an organization invests in configuring it, and my only complaint might simply be a company not using it enough (or taking a long time to get fully set up) Review collected by and hosted on G2.com. What problems is Datadog solving and how is that benefiting you? Datadog solves a number of monitoring use cases, allowing us to configure alerts for key events that occur across a number of systems. Configuring these in Datadog is significantly simpler than developing in-house monitoring and alerting systems. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. G2 IconCurrent User (The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.)Validated Reviewer (Validated through LinkedIn)Incentivized (This reviewer was offered a nominal gift card as thank you for completing this review.)Source: G2 invite (Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.) (Copy Review URL) SL Stephan L. Small-Business (50 or fewer emp.) 10/10/2026 "Seamless Observability with Datadog" 4.5/5 What do you like best about Datadog? I find the seamless observability engine of Datadog to be a standout feature. It allows us to automate out of the box data correlation, which is incredibly helpful. When an alert triggers or there's a performance anomaly, I can pick a metric data point instantly to the corresponding log line with distributed ATM traces without losing context. Review collected by and hosted on G2.com. What do you dislike about Datadog? None. Review collected by and hosted on G2.com. What problems is Datadog solving and how is that benefiting you? I use Datadog to seamlessly trace metrics to logs with distributed ATM traces, helping our engineers pinpoint root causes quickly. It integrates with Slack and PagerDuty for alerts, reducing investigation time from hours to seconds. Review collected by and hosted on G2.com. Show More Validated Reviewer (This review contains authentic analysis and has been reviewed by our team)Incentivized (This reviewer was offered a nominal incentive as thanks for completing this review.)Source: Seller invite (Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.) (Copy Review URL) RE Rose E. Small-Business (50 or fewer emp.) 10/16/2026 "Granular Observability, Fast Setup—But a Crowded UI" 4.5/5 What do you like best about Datadog? I like Datadog’s granularity across the platform, along with its interactive filters and streamlined searches. They make searching user-friendly and efficient, and help me find errors and performance bottlenecks across log lines and microservices. Datadog turns a flood of logs and telemetry into actionable diagnostic insights. Review collected by and hosted on G2.com. What do you dislike about Datadog? I find Datadog’s interface can feel a little overwhelming, with so much data, menus, and controls packed onto the screen, especially for a new user. Review collected by and hosted on G2.com. What problems is Datadog solving and how is that benefiting you? We use Datadog to turn an overwhelming flood of system logs and telemetry into actionable diagnostic insights. Review collected by and hosted on G2.com. Show More Validated Reviewer (This review contains authentic analysis and has been reviewed by our team)Incentivized (This reviewer was offered a nominal incentive as thanks for completing this review.)Source: Seller invite (Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.) (Copy Review URL)