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Dynatrace AI vs New Relic AI
This comparison was retrieved by database IDs selected from the catalog.
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
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