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Datadog AI vs New Relic AI
This comparison was retrieved by database IDs selected from the catalog.
Datadog AI
Datadog
New Relic AI
New Relic
Free plan (1 host). Infrastructure from $15/host/month. APM from $31/host/month. Enterprise custom. Publicly traded (DDOG).
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.
Infrastructure metrics, logs, and trace data processed on Datadog's infrastructure. Review data handling policy for sensitive application and log data processing.
Telemetry data (metrics, logs, traces) processed on New Relic's infrastructure. 100GB free tier data processed under New Relic's standard privacy policy.
- Most comprehensive cloud observability platform — metrics, logs, traces, and security in one product
- Watchdog AI anomaly detection surfaces issues without requiring manual threshold configuration
- Bits AI investigation assistant accelerates incident resolution through natural language data queries
- 650+ integrations cover virtually all modern cloud infrastructure and application tooling
- 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
- Usage-based pricing across many capabilities makes total cost difficult to predict at scale
- Complexity of full platform requires significant setup and ongoing maintenance investment
- Competing with New Relic (rank 540), Dynatrace (rank 541), and open source Prometheus/Grafana stacks
- 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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