Dynatrace is an AI-powered observability and application performance monitoring platform for cloud environments. It helps teams monitor, analyze, and optimize software performance, infrastructure, logs, security, and user experience.
Dynatrace is an enterprise observability platform that unifies application performance monitoring, infrastructure monitoring, log management, digital experience monitoring, and application security into a single AI-powered solution, with pricing starting at $0.04/hour for full-stack monitoring on a usage basis. It targets large enterprises and complex cloud-native organizations that need end-to-end visibility across hybrid and multi-cloud environments.
Founded in 2005 in Linz, Austria by Bernd Greifeneder, Sok-Kheng Taing, and Hubert Gerstmayr, Dynatrace (NYSE:DT) is headquartered in Boston, Massachusetts. The platform is built around three proprietary AI engines collectively branded as Davis AI — combining causal, predictive, and generative AI — to automatically detect anomalies, identify root causes, and recommend or automate remediation. Its OneAgent technology auto-discovers and instruments every component in an environment (containers, Kubernetes pods, VMs, databases, services, and end-user sessions) without requiring manual configuration, while the Smartscape topology map continuously visualizes dependencies in real time.
Dynatrace covers a wide functional surface: full-stack APM, distributed tracing (PurePath), real user monitoring (RUM), synthetic monitoring, infrastructure observability, log analytics powered by the Grail data lakehouse, business analytics, runtime application security, and DevSecOps automation through workflows and AutomationEngine. Compared to the other observability tools in our directory such as Datadog, New Relic, Splunk, and Grafana, Dynatrace differentiates itself with its deterministic AI root-cause analysis, single-agent deployment model, and Grail's index-free log querying via the DQL language. It is generally positioned at the higher end of the market — best suited for Fortune 1000 enterprises, regulated industries, and organizations running thousands of services where automation and causal AI deliver clear ROI rather than for small teams or hobbyists who may find the platform expensive and complex relative to lighter-weight alternatives.
Was this helpful?
Davis is Dynatrace's three-part AI engine combining causal AI for root-cause analysis, predictive AI for forecasting capacity and seasonal anomalies, and generative AI through Davis CoPilot for natural-language queries. Because Davis leverages the real-time Smartscape topology, it produces deterministic answers — naming the exact failing component and downstream impact — rather than probabilistic correlations. This sharply reduces alert fatigue and accelerates incident resolution.
A single OneAgent installed per host automatically detects every process, container, service, database, and dependency, then continuously builds the Smartscape topology graph. This eliminates most manual instrumentation work that engineers face with traditional APM or OpenTelemetry-only stacks. New services and infrastructure components appear in monitoring within minutes of deployment.
Grail is Dynatrace's index-free, schema-on-read data lakehouse for logs, metrics, traces, events, and business data, queried via DQL (Dynatrace Query Language). Unlike traditional log management tools that require expensive indexing, Grail lets teams retain massive volumes of data affordably and run complex analytical queries on demand. This enables forensic investigations, security analytics, and business observability without pre-defining schemas.
Dynatrace Application Security uses the same OneAgent to detect vulnerable libraries at runtime and assess real exploit risk based on whether the code path is loaded, exposed, and reachable. This dramatically reduces false-positive CVE noise compared to static scanners. The module also supports runtime attack detection and protection, making it a credible DevSecOps tool alongside its observability stack.
AutomationEngine lets teams build event-driven, code-based workflows that connect Dynatrace signals to external systems like ServiceNow, Jira, PagerDuty, Slack, GitHub Actions, and Kubernetes. Workflows can trigger remediation, open incidents, post deployment validations, or enforce SLOs — turning Dynatrace from a passive monitoring tool into an active automation backbone for SRE and platform teams. Built-in templates and a visual editor lower the barrier to entry.
From $0.04/hour per 8 GiB host
From $0.01/hour per host
From $0.0001 per GiB scanned (Grail)
From $0.018/hour per 8 GiB host
Priced per DEM unit (RUM + synthetic)
Ready to get started with Dynatrace?
View Pricing Options →We believe in transparent reviews. Here's what Dynatrace doesn't handle well:
Weekly insights on the latest AI tools, features, and trends delivered to your inbox.
Dynatrace continues to expand its AI capabilities with Davis CoPilot, a generative AI assistant that lets users query data, build dashboards, and create AutomationEngine workflows in natural language. The platform's homepage messaging in 2026 centers on 'Observability built for the age of AI,' emphasizing observability for AI-driven applications and LLM workloads, as well as deeper integration of causal, predictive, and generative AI under the unified Davis brand. The company has also continued migrating customers from the classic experience to the Grail-based platform with new apps, AppEngine for custom apps, and expanded business observability use cases.
No reviews yet. Be the first to share your experience!
Get started with Dynatrace and see if it's the right fit for your needs.
Get Started →Take our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack →Explore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates →