1. [Home](https://www.g2.com/) 2. ... 3. [Monitoring Software](https://www.g2.com/categories/monitoring) 4. [Application Performance Monitoring (APM) Tools](https://www.g2.com/categories/application-performance-monitoring-apm) 5. [Dynatrace](https://www.g2.com/products/dynatrace/reviews) 6. [Dynatrace Claims vs Evidence](https://www.g2.com/products/dynatrace/claims-vs-evidence) # Dynatrace Claims vs Evidence ## Claim: “Dynatrace continuously analyzes runtime behavior to surface only the vulnerabilities that are active, reachable, and impacting live services.” ##### Mixed support from reviews. Reviewers describe real-time security-vulnerability detection and prioritization, supporting parts of the claim. However, one reviewer specifically says vulnerabilities are identified before they impact end users, and another requests more security-vulnerability features, so the reviews do not consistently support the claim that Dynatrace surfaces only vulnerabilities that are active, reachable, and impacting live services. - “The AI engine (Davis) excels at pinpointing performance bottlenecks and security vulnerabilities in real time before they impact end users.” [Read Full Review](https://www.g2.com/survey_responses/13134276) - “Dynatrace is more than just APM. It's a platform full of relevant data, not only APM but security, logs, traces all of which combine with the intelligence of Davis to prioritize incidents and security” [Read Full Review](https://www.g2.com/survey_responses/10799086) - “more features to observe security vulnerabilties” [Read Full Review](https://www.g2.com/survey_responses/10802609) Last updated Sep 30, 2026 Source: [https://www.dynatrace.com/solutions/runtime-vulnerability-analytics/](https://www.dynatrace.com/solutions/runtime-vulnerability-analytics/) ## Claim: “Dynatrace traces requests end-to-end, pinpoints root cause with AI, and shows you exactly which cloud services are affecting your customers and how.” ##### Mixed support from reviews. Reviewers report strong end-to-end tracing, full-stack visibility, and AI-assisted root-cause identification, including insights across hybrid and multi-cloud environments. However, other reviewers describe serious Davis AI accuracy concerns and limitations in end-to-end visibility, so the evidence is mixed. - “Dynatrace provides exceptional full-stack visibility and automated root-cause analysis. Its OneAgent deployment makes installation seamless, giving instant deep-dive insights into hybrid and multi-cloud environments. The AI engine (Davis) excels at pinpointing performance bottlenecks and security vulnerabilities in real time before they impact end users.” [Read Full Review](https://www.g2.com/survey_responses/13134276) - “Using the tracing of requests through multiple microservices, I can find where the request is stalling out and or failing. It has helped me and my team get to the root of many problems without having to write custom code.” [Read Full Review](https://www.g2.com/survey_responses/10803296) - “Davis is the worst AI assistant I have ever used. I can not recall a situation where it has correctly answered a question and is constantly contradicted by the information it sources. I only use it to ask questions. It might be better at anomaly detection.” [Read Full Review](https://www.g2.com/survey_responses/12323276) - “Front end monitoring limitation for end to end visibility” [Read Full Review](https://www.g2.com/survey_responses/10803518) Last updated Sep 30, 2026 Source: [https://www.dynatrace.com/solutions/cloud-operations/](https://www.dynatrace.com/solutions/cloud-operations/) ## Claim: “Our patented distributed tracing and code-level analysis technology automatically integrates high-fidelity distributed tracing with user experience data and data from open-source technologies including OpenTelemetry and code-level analytics.” ##### Mixed support from reviews. Reviewers report integrated visibility across infrastructure, traces, real-user monitoring, customer experience, and code-level insights. However, one reviewer specifically reports that OpenTelemetry support still has significant limitations, so the evidence is mixed for the full integration claim. - “Where else can you write a single query and hear and see the metrics related to that from infrastructure level to real user monitoring level?” [Read Full Review](https://www.g2.com/survey_responses/4102860) - “Support for OTel data could be improved, as of today there are still a lot of limitations” [Read Full Review](https://www.g2.com/survey_responses/10802781) Last updated Sep 30, 2026 Source: [https://www.dynatrace.com/solutions/devsecops/](https://www.dynatrace.com/solutions/devsecops/) ## Claim: “Dynatrace continuously monitors runtime behavior, correlates vulnerabilities with live service context, and surfaces only the findings that pose actual risk so teams act on signal, not noise.” ##### Mixed support from reviews. Reviewers report continuous monitoring, real-time identification of security vulnerabilities, and Davis-based correlation and prioritization. However, another reviewer reports too many false positives, which conflicts with the claim that Dynatrace surfaces only findings posing actual risk. - “Dynatrace continuously monitors without gaps, so performance bottlenecks and anomalies are detected instantly.” [Read Full Review](https://www.g2.com/survey_responses/11762523) - “The AI engine (Davis) excels at pinpointing performance bottlenecks and security vulnerabilities in real time before they impact end users.” [Read Full Review](https://www.g2.com/survey_responses/13134276) - “security, logs, traces all of which combine with the intelligence of Davis to prioritize incidents and security” [Read Full Review](https://www.g2.com/survey_responses/10799086) - “it became too complicated and gave too many false positives. Dashboards are inaccurate and misleading.” [Read Full Review](https://www.g2.com/survey_responses/12186153) Last updated Sep 30, 2026 Source: [https://www.dynatrace.com/solutions/runtime-vulnerability-analytics/](https://www.dynatrace.com/solutions/runtime-vulnerability-analytics/) ## Claim: “Dynatrace automatically maps your full application topology and dependency graph, correlates traces, metrics, and logs in context, and updates continuously as your environment changes.” ##### Supported by reviews. Relevant reviewers consistently describe automatic service and dependency mapping, contextual correlation across logs, metrics, and traces, and continuous monitoring. The reviews support the claim’s direction, although they do not independently establish every aspect of the wording, such as complete topology coverage or continuous topology updates specifically. - “Features like automatic dependency mapping, real-time monitoring, and proactive alerting make it easier to detect problems early and reduce resolution time.” [Read Full Review](https://www.g2.com/survey_responses/13111992) - “The way it automatically maps out services and dependencies is genuinely helpful” [Read Full Review](https://www.g2.com/survey_responses/12068870) - “I like the contextual view across logs, metrics, traces, and related data.” [Read Full Review](https://www.g2.com/survey_responses/13437407) - “Dynatrace continuously monitors without gaps, so performance bottlenecks and anomalies are detected instantly.” [Read Full Review](https://www.g2.com/survey_responses/11762523) Last updated Sep 30, 2026 Source: [https://www.dynatrace.com/solutions/full-stack-observability/](https://www.dynatrace.com/solutions/full-stack-observability/) ## Claim: “Dynatrace delivers end-to-end AI observability across models, agents, vector databases, and infrastructure—tracking latency, errors, token usage, costs, and guardrail outcomes to explain AI behavior and speed troubleshooting.” ##### Mixed support from reviews. Reviewers report AI-assisted root-cause analysis, end-to-end visibility, and faster troubleshooting, but others describe inconsistent AI tooling and unreliable Davis answers. The reviews support broad AI observability and troubleshooting capabilities while not specifically addressing models, agents, vector databases, token usage, costs, or guardrail outcomes. - “The unified observability approach along with AI-driven capabilities has reduced manual effort during incident investigations giving the team better visibility on RCA, entire technology stack etc..” [Read Full Review](https://www.g2.com/survey_responses/13440689) - “I like the AI-powered root cause analysis feature through Davis AI, which helps quickly identify and troubleshoot issues. I also appreciate the end-to-end observability it provides across applications, infrastructures, logs, and user experience all from a single dashboard.” [Read Full Review](https://www.g2.com/survey_responses/13111992) - “AI tooling needs to be consistent across all areas of the product.” [Read Full Review](https://www.g2.com/survey_responses/10799431) - “Davis is the worst AI assistant I have ever used. I can not recall a situation where it has correctly answered a question and is constantly contradicted by the information it sources.” [Read Full Review](https://www.g2.com/survey_responses/12323276) Last updated Sep 30, 2026 Source: [https://www.dynatrace.com/solutions/industry/state-local-government/](https://www.dynatrace.com/solutions/industry/state-local-government/) ## Claim: “Dynatrace automatically collects and correlates every signal across your stack so teams get answers, not more data to sort through.” ##### Mixed support from reviews. Reviewers report that Dynatrace correlates data across sources and can provide concise root-cause answers, but others say it presents substantial information that still requires analysis. The evidence is therefore split on whether it consistently delivers answers without leaving teams to sort through data. - “It can pull data from all sources in Grail, so I don’t have to click through the UI just to correlate different data sources.” [Read Full Review](https://www.g2.com/survey_responses/13494061) - “You get a single answer as opposed to receiving 100 confusing alerts, which saves a huge amount of troubleshooting time.” [Read Full Review](https://www.g2.com/survey_responses/12645823) - “The unified observability approach along with AI-driven capabilities has reduced manual effort during incident investigations giving the team better visibility on RCA, entire technology stack etc..” [Read Full Review](https://www.g2.com/survey_responses/13440689) - “Sometimes it provides a lot of information which might require time to analyze and identify the exact issue.” [Read Full Review](https://www.g2.com/survey_responses/13440476) Last updated Sep 30, 2026 Source: [https://www.dynatrace.com/solutions/full-stack-observability/](https://www.dynatrace.com/solutions/full-stack-observability/) ## Claim: “Dynatrace prioritizes issues by business impact, performs automated root-cause analysis down to the code level, and gives teams the context to fix problems before users notice.” ##### Supported by reviews. Most relevant reviewers describe business-oriented observability, AI-driven root-cause analysis with code-level insights, and detection before issues affect end users. One reviewer cautions that the AI still needs improvement, but the dominant evidence supports the claim. - “business process first, technology second” [Read Full Review](https://www.g2.com/survey_responses/10799431) - “the code level insights and AI brings root cause analysis - it's awesome” [Read Full Review](https://www.g2.com/survey_responses/514126) - “The AI engine (Davis) excels at pinpointing performance bottlenecks and security vulnerabilities in real time before they impact end users.” [Read Full Review](https://www.g2.com/survey_responses/13134276) - “AI Inights into problems - The AI needs work!” [Read Full Review](https://www.g2.com/survey_responses/10799092) Last updated Sep 30, 2026 Source: [https://www.dynatrace.com/solutions/full-stack-observability/](https://www.dynatrace.com/solutions/full-stack-observability/) ## Claim: “Dynatrace traces each request end to end across frontend, backend, orchestration, RAG, and LLM layers, and automatically pinpoints root cause so teams resolve issues before customers feel them.” ##### Mixed support from reviews. Reviewers report full-stack or end-to-end visibility, automated root-cause analysis, and proactive detection before user impact, but another reviewer specifically cites a limitation in frontend monitoring for end-to-end visibility. The reviews do not specifically establish tracing every request across orchestration, RAG, and LLM layers. - “Dynatrace provides exceptional full-stack visibility and automated root-cause analysis. Its OneAgent deployment makes installation seamless, giving instant deep-dive insights into hybrid and multi-cloud environments. The AI engine (Davis) excels at pinpointing performance bottlenecks and security vulnerabilities in real time before they impact end users.” [Read Full Review](https://www.g2.com/survey_responses/13134276) - “I like the AI-powered root cause analysis feature through Davis AI, which helps quickly identify and troubleshoot issues. I also appreciate the end-to-end observability it provides across applications, infrastructures, logs, and user experience all from a single dashboard.” [Read Full Review](https://www.g2.com/survey_responses/13111992) - “Front end monitoring limitation for end to end visibility” [Read Full Review](https://www.g2.com/survey_responses/10803518) Last updated Sep 30, 2026 Source: [https://www.dynatrace.com/solutions/ai-observability/](https://www.dynatrace.com/solutions/ai-observability/) ## Claim: “Access real-time application state to resolve the unknowns in development, through testing, and into production” ##### Supported by reviews. Relevant reviewers consistently describe real-time monitoring, detailed application-state visibility, and production and developer-focused troubleshooting through metrics and traces. - “Features like automatic dependency mapping, real-time monitoring, and proactive alerting make it easier to detect problems early and reduce resolution time.” [Read Full Review](https://www.g2.com/survey_responses/13111992) - “I like that you are able to see deep insights into production transactions and issues. We're also able to analyze pod and application metrics easily.” [Read Full Review](https://www.g2.com/survey_responses/10799772) - “CLient side metrics and traces is good help for developer fixing APM tool feedback.” [Read Full Review](https://www.g2.com/survey_responses/8768647) Last updated Sep 30, 2026 Source: [https://www.dynatrace.com/solutions/observability-for-developers/](https://www.dynatrace.com/solutions/observability-for-developers/)