
Dynatrace
Observability and security platform with AI-assisted analytics and AI workload monitoring
About Dynatrace
Dynatrace provides a software intelligence platform for observability across applications, infrastructure and user experience, using causal AI for root cause analysis. It has added observability for AI and LLM workloads on top of its core monitoring.
Common use cases
- Monitoring AI-powered applications
- Cloud migration observability
- Incident reduction
- Site reliability engineering
Social listening
What people are saying about Dynatrace
Reviewers praise AI-driven root-cause analysis and full-stack visibility, and buyers typically plan for pricing governance, onboarding and deployment fit.
What stands out
- Davis AI is credited with faster root-cause identification.
- Auto-discovery and distributed tracing give end-to-end visibility.
- The platform is described as stable at scale.
- Support responsiveness is often praised.
Things to consider
- Worth setting up cost monitoring, especially for log and data processing volumes.
- Teams typically plan for onboarding time covering setup, alert tuning and the interface.
- Check OneAgent resource use on older nodes.
- Teams with air-gapped or regulated environments should confirm SaaS deployment fit.
Often compared with: Datadog, New Relic, Splunk, Grafana, Checkmk
Sources (1)
- Dynatrace reviews on PeerSpot Review site
Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.
Products and services
Dynatrace Platform
Unified observability across logs, metrics, traces and user experience.
Davis AI
Causal and predictive AI for anomaly detection and root cause analysis.
AI Observability
Monitoring for LLM and AI-driven applications.
Pricing and editions. Reviewers describe host-unit licensing plus consumption charges that are complex to plan.
Key features
- Full-stack observability
- Automatic discovery
- Root cause analysis
- AI workload monitoring
- Application security
- Business analytics
Integrations
- AWS
- Microsoft Azure
- Google Cloud
- Kubernetes
- ServiceNow
- OpenAI
Dynatrace alternatives
- DatadogCloud observability platform with LLM and ML monitoring capabilities
- New RelicFull-stack observability platform with AI application and agent monitoring
- SplunkData, security and observability platform; AI agent monitoring via Cisco
- ElasticSearch and analytics platform behind Elasticsearch, with vector search
FAQs
Is it ML-specific?
No, it is a general observability platform that includes AI workload monitoring.
How is it priced?
Consumption-based subscription.
Where does it run?
As SaaS, with options for managed deployments in customer environments.

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