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About Dynatrace
What is Dynatrace?
Dynatrace is an AI-powered observability platform that helps businesses turn data into decisions and autonomous actions. It provides end-to-end monitoring for applications, infrastructure, digital experiences, and security, all unified on a single platform.
What problem does it solve?
Dynatrace solves the problem of complex cloud environments where issues are hard to detect and resolve. It uses deterministic AI to provide root cause analysis, anomaly detection, and automated workflows, reducing downtime and improving efficiency.
Who is it for?
Dynatrace is for DevOps teams, SREs, IT operations, and security professionals who need deep visibility into cloud-native and enterprise stacks. It's not for small projects with basic monitoring needs—it's designed for organizations requiring advanced analytics and automation.
Real use cases
Use Dynatrace for monitoring Kubernetes clusters, optimizing application performance, securing workloads from vulnerabilities, and gaining business insights from custom analytics. It's widely used by global enterprises to drive growth and innovation.
Key features
- AI Observability — Monitor GenAI apps, LLMs, and agents.
- Application Observability — APM, distributed tracing, and profiling.
- Application Security — Real-time vulnerability detection and shielding.
- Business Observability — Custom analytics for business decisions.
- Digital Experience — Real-user and synthetic monitoring.
- Infrastructure Observability — End-to-end monitoring for multi-cloud.
- Log Analytics — Intelligent log analysis with Grail data lakehouse.
SaaSpartout Score
7.4
/10
Editorial score from our review methodology — not user ratings.
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Dynatrace Pricing
Dynatrace pricing: from $7/mo per host.
For comparison: the median starting price in Analytics & Data is $29/month, measured across 257 tools we track. See the full SaaS Pricing Index →
Foundation & Discovery
$7/month per host (billed hourly at $0.01 per host). Includes basic host health indicators, host/process topology, filesystem monitoring, OS services monitoring, and log collection in context.
Infrastructure Monitoring
$29/month per host (billed hourly at $0.04 per host). Includes everything in Foundation, plus process/disk/memory/network analysis and custom metrics.
Full-Stack Monitoring
$58/month per 8 GiB host (billed at $0.01 per memory-GiB-hour). Includes everything in Infrastructure, plus APM, automated root cause analysis, code-level profiling, Kubernetes Platform Monitoring, and OpenTelemetry support.
Kubernetes Platform Monitoring and Code Monitoring are also available as add-ons. Try it free—no upfront commitment required.
Frequently asked questions
How much does Dynatrace cost?
Dynatrace pricing starts at $7 per host per month for Foundation & Discovery, $29 per host per month for Infrastructure Monitoring, and $58 per 8 GiB host per month for Full-Stack Monitoring. All plans are billed hourly and require an annual commitment.
Does Dynatrace offer a free trial?
Yes, Dynatrace offers a free trial. You can try the platform for free to evaluate its features before committing.
What is Dynatrace used for?
Dynatrace is used for observability—monitoring applications, infrastructure, logs, and security. It provides AI-driven insights to help teams detect and resolve issues faster, optimize performance, and make data-driven decisions.
Who is Dynatrace best for?
Dynatrace is best for large enterprises and tech teams that need deep, AI-powered observability across complex cloud environments. It's not ideal for small projects or basic monitoring needs due to its advanced capabilities and pricing structure.
What are the top alternatives to Dynatrace?
Top alternatives include Datadog, New Relic, Splunk Observability, and Grafana Labs. Each offers similar observability features but may differ in pricing, AI capabilities, and integrations.
What is the main limitation of Dynatrace?
The main limitation is its pricing model—it requires annual commitments and can become expensive as you scale. Additionally, the platform's complexity may have a steep learning curve for new users.
