Dynatrace AI
Dynatrace / dynatrace.com
AI-powered full-stack observability and security platform with Davis AI providing automated root cause analysis, anomaly detection, and precise problem identification across cloud, hybrid, and on-premise environments.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
2
Free plan
No
API access
No
Open source
No
Platforms
2
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What is Dynatrace AI?
Dynatrace is an enterprise observability and application performance management (APM) platform known for Davis AI — an AI engine that automatically identifies root causes of performance problems without requiring manual investigation. Unlike alert-heavy monitoring tools, Dynatrace's approach is to surface precise problem root causes rather than alert floods.
Davis AI continuously analyses application topology (how services connect and depend on each other) and correlates anomalies to identify the root cause automatically. When a checkout service slows down, Davis AI analyses the service dependency map, identifies which downstream service became slow, and presents the root cause with evidence — eliminating the manual investigation that consumes hours of engineer time in complex microservices.
Automatic topology discovery maps the entire application and infrastructure environment automatically — containers, processes, services, hosts, and cloud resources — without requiring manual configuration. This always-accurate application map enables Davis AI to understand dependencies for root cause analysis.
Dynatrace's log management, distributed tracing, infrastructure monitoring, and digital experience monitoring are all connected through Davis AI — anomalies in any layer are correlated across the full stack.
Dynatrace Security provides application security posture management and runtime threat detection — integrating security into the observability stack rather than requiring separate SAST/DAST tools.
With customers including Deutsche Bank, Kroger, and Marks & Spencer, Dynatrace validates across financial services, retail, and enterprise technology.
How Dynatrace AI works
Dynatrace AI runs as ml platform software built around data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api.
Watch Dynatrace AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Dynatrace AI.
Davis AI root cause
Automatically correlates anomalies across the full application stack and dependency topology to identify precise root causes — eliminating manual multi-dashboard incident investigation.
Automatic topology discovery
Maps the entire application and infrastructure environment automatically without manual configuration — providing always-accurate service dependency maps for AI correlation.
Full-stack integration
APM, infrastructure, logs, user experience, and security analysed together through Davis AI, surfacing cross-stack correlations impossible to detect through siloed monitoring tools.
Best use cases
Who should use it
Pros
- Davis AI automated root cause is the strongest AI problem identification in observability — reduces manual investigation
- Automatic topology discovery provides always-accurate application maps without manual configuration
- Deutsche Bank, Kroger, and Marks & Spencer validate for complex enterprise environments
- Full-stack integration across APM, infrastructure, logs, UX, and security in one platform
Cons
- Enterprise contract pricing requires significant investment commitment
- Complex environment full-stack deployment requires time and expertise
- DPS subscription model pricing complexity can make cost prediction difficult
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Is it worth the price?
Full stack monitoring from custom pricing. DPS (Dynatrace Platform Subscription) model. Enterprise contracts. 15-day trial. Publicly traded (DT).
Model
Subscription
Starting price
Free
Free trial
Yes
Tools like Dynatrace AI
Datadog (rank 539) is the most direct competitor. New Relic (rank 540) provides competing observability. AppDynamics (Cisco) provides enterprise APM. Instana (IBM) provides containerised APM.
Dynatrace AI vs New Relic AI
A side-by-side look at the closest alternative in this category.
Dynatrace AI
Dynatrace
New Relic AI
New Relic
Full stack monitoring from custom pricing. DPS (Dynatrace Platform Subscription) model. Enterprise contracts. 15-day trial. Publicly traded (DT).
Free plan with 100GB data/month. Standard $0.25/GB thereafter. Enterprise custom. Publicly traded (NEWR).
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. HIPAA eligible. Enterprise data handling agreements.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. HIPAA eligible. Enterprise data handling agreements.
Application telemetry and performance data processed under Dynatrace's enterprise data handling agreements.
Telemetry data (metrics, logs, traces) processed on New Relic's infrastructure. 100GB free tier data processed under New Relic's standard privacy policy.
- Davis AI automated root cause is the strongest AI problem identification in observability — reduces manual investigation
- Automatic topology discovery provides always-accurate application maps without manual configuration
- Deutsche Bank, Kroger, and Marks & Spencer validate for complex enterprise environments
- Full-stack integration across APM, infrastructure, logs, UX, and security in one platform
- 100GB/month free tier is the most generous in enterprise observability — genuinely accessible for startups
- Consumption-based pricing scales with data volume rather than host count — predictable for growing teams
- Bits AI conversational investigation reduces incident context-gathering time
- NRQL AI query generation democratises telemetry analysis beyond query-language-expert engineers
- Enterprise contract pricing requires significant investment commitment
- Complex environment full-stack deployment requires time and expertise
- DPS subscription model pricing complexity can make cost prediction difficult
- Less strong AI root cause automation than Dynatrace's Davis AI for complex microservices environments
- Pricing model complexity after moving to consumption-based — review total cost carefully at scale
- Competing with well-resourced Datadog and Dynatrace in a market requiring ongoing AI investment
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Dynatrace
Platforms
Web, API
Deployment
SaaS, On-premise
Integrations
AWS, Azure, GCP, Kubernetes, Slack, PagerDuty, ServiceNow, 500+ integrations, API
Team Collaboration
Yes
Launch Year
2022
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. HIPAA eligible. Enterprise data handling agreements.
Application telemetry and performance data processed under Dynatrace's enterprise data handling agreements.
What users are saying
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Common questions about Dynatrace AI
Editorial Verdict
Should you use Dynatrace AI?
Dynatrace is the strongest AI-driven APM and observability platform for enterprises wanting automated root cause analysis without manual alert investigation, particularly for complex microservices and hybrid environments.
Last verified July 24, 2026.