New Relic vs Elastic Observability
A detailed comparison to help you choose between New Relic and Elastic Observability.
Quick Verdict
4.1/5
New Relic
175 reviews
4.1/5
Elastic Observability
249 reviews
New Relic is rated higher (4.1 vs 4.1). New Relic is a full-stack observability platform with a unique pricing model: 100GB free data ingest/month. APM, infrastructure, browser monitoring, synthetics, and logs in one platform. Unified observability platform that collects and analyzes metrics, logs, and traces from servers, applications, and services. Built for DevOps teams managing complex distributed systems.
New Relic Full-stack observability — 100GB free per month | Elastic Observability Real-time visibility into infrastructure, applications, and logs | |
|---|---|---|
| Overview | ||
| Rating | 4.1 (175 reviews)✓ | 4.1 (249 reviews) |
| Pricing model | freemium | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Engineering teams wanting full observability with a generous free tier and user-based pricing | Engineering teams running Elasticsearch who need consolidated observability without additional tool licensing and can manage operational complexity. |
| Tags | ||
| Tags | free tierapi accessteam features | free tieropen sourceself hostableapi accessteam features |
| Visit New Relic → | Visit Elastic Observability → | |
New Relic
Pros
- + 100GB free data ingest/month — very generous
- + User-based pricing model (1 user free)
- + Full-stack: APM + infra + logs
Cons
- - Data over 100GB/month expensive
- - Complexity for simple monitoring needs
Elastic Observability
Pros
- + Ingest high-volume metrics and logs without separate monitoring licenses
- + Query logs and metrics using the same Kibana interface
- + Pre-built dashboards and integrations for common platforms and services
- + Correlate infrastructure metrics with application traces for faster troubleshooting
Cons
- - Steep learning curve for Elasticsearch Query DSL and Kibana configuration
- - Self-managed deployments require significant infrastructure and operational overhead
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