Home/Datadog vs New Relic
Datadog vs New Relic: Pricing, Features, and Honest Trade-offs (2026)
Quick Verdict
New Relic is cheaper for most teams thanks to data-ingest pricing (pay for data volume, not server count) and a generous 100 GB/month free tier. Datadog has a better UX, broader integrations (700+ vs 500+), and deeper Kubernetes auto-discovery. New Relic's user-seat pricing ($549/user/mo on Enterprise) can get expensive at enterprise scale with 15+ full-platform users. For teams where cost is the primary driver, New Relic wins. For teams that value UX polish and breadth of features, Datadog is stronger.
Pricing Comparison at Three Scales
Infrastructure + APM + Log Management. Includes all cost components: host fees, data ingest, user seats, and retention.
| Component | Datadog | New Relic |
|---|---|---|
| 10 servers, 50 GB logs, 3 users | $1,200-1,800 | $0-300 |
| 50 servers, 200 GB logs, 5 users | $5,500-9,000 | $600-1,500 |
| 200 servers, 500 GB logs, 15 users | $20,000-35,000 | $3,000-9,000 |
New Relic costs at Enterprise include $549/user/month for full-platform users. Standard plan users cost $99/mo. Datadog costs include Infrastructure Pro ($15/host) + APM ($31/host) + Log Management.
Feature Comparison
| Feature | Datadog | New Relic |
|---|---|---|
| Infrastructure Monitoring | Excellent | Good |
| APM / Distributed Tracing | Excellent | Good |
| Log Management | Good | Good |
| Real User Monitoring | Excellent | Basic |
| Synthetic Monitoring | Excellent | Good |
| Security Monitoring | Excellent | Limited |
| Kubernetes Support | Excellent | Good |
| OpenTelemetry Support | Good | Good |
| Integrations | 700+ | 500+ |
| AI/ML Anomaly Detection | Watchdog | Applied Intelligence |
| Free Tier | 14-day trial | 100 GB/mo forever |
Where New Relic Wins
100 GB Free Tier
New Relic includes 100 GB of data ingest per month at no cost, with 1 full-platform user. For a small team with 5-10 servers, this can cover all monitoring needs without spending anything. Datadog offers only a 14-day trial with no permanent free tier for production use. This alone makes New Relic the default recommendation for startups and small teams.
No Per-Host Fees
New Relic charges for data volume, not server count. If you have 200 servers that generate modest telemetry, you pay the same as 50 servers generating the same data volume. This eliminates the auto-scaling cost anxiety that Datadog creates with high-water-mark billing. For Kubernetes environments where pod counts fluctuate dramatically, this pricing model is significantly more predictable.
Simpler Pricing Model
One dimension: data ingest (GB) + user seats. Compare that with Datadog's six dimensions (host infra, host APM, GB logs, events indexed, GB retention, custom metrics, RUM sessions). Teams can predict their New Relic bill with a simple calculation. Datadog bills require a spreadsheet to estimate accurately.
NRQL Query Language
NRQL is SQL-like and intuitive for anyone with database experience. Queries likeSELECT average(cpuPercent) FROM SystemSample FACET hostname SINCE 1 hour agoare self-explanatory. DQL has a steeper learning curve. New Relic's query builder also includes a visual mode for non-technical users.
Where Datadog Wins
Superior UI/UX
Datadog's interface is widely regarded as the best in the observability space. Dashboards are more customizable, the service map visualization is cleaner, and the overall navigation between infrastructure, APM, and logs is more intuitive. New Relic has improved significantly, but Datadog's UX remains a competitive advantage that keeps enterprise teams on the platform despite higher costs.
700+ Integrations
Datadog has the largest integration library in the observability space. From cloud providers and databases to CI/CD tools and messaging queues, there is a pre-built integration for nearly every technology. Each integration comes with pre-configured dashboards and monitors. New Relic has 500+ integrations, which is solid but noticeably less comprehensive for niche tools and services.
Deeper Kubernetes Support
Datadog's Cluster Agent and auto-discovery make Kubernetes monitoring nearly zero-config. Pod-level metrics, container maps, and automatic service discovery work out of the box. The Live Containers view and Orchestrator Explorer provide real-time visibility that is ahead of New Relic's Kubernetes integration in terms of depth and granularity.
Broader Feature Set
Beyond core observability, Datadog offers Cloud Security Posture Management, CI Visibility, Database Monitoring, Network Performance Monitoring, and Cloud Cost Management. These features are tightly integrated and reduce the need for separate tools. New Relic covers most core observability use cases but does not extend as far into adjacent domains.
Migration Considerations
Query Language: DQL to NRQL
Both are proprietary query languages. NRQL is SQL-like and generally easier to learn. Most DQL queries translate directly. The main differences are in function names and aggregation syntax. Plan 2-3 days for your team to become comfortable with NRQL.
Dashboard Migration
There is no automated converter between Datadog dashboards and New Relic. You will need to recreate dashboards manually using NRQL. For 20-30 dashboards, expect 3-5 days of work. Prioritize critical dashboards first and rebuild the rest over time.
Alert Recreation
Datadog monitors need to be manually recreated as New Relic alert conditions. The alert logic is similar but the syntax differs. Test thoroughly during the parallel-run period to ensure no gaps in alerting coverage.
Team Retraining
Budget 1-2 weeks for your team to reach basic proficiency with the New Relic UI and NRQL. Engineers who use observability tools daily will adapt within a few days. On-call engineers who use them sporadically will take longer.