New Relic vs Datadog: Which is Better in 2026?
Datadog and New Relic are the two dominant full-stack observability platforms for engineering teams, yet they reach similar coverage through fundamentally different architectures and pricing models. Datadog bills per monitored host ($15-$23/host/month for infrastructure, $31/host for APM) and layers on costs per product, making it powerful but expensive to expand. New Relic charges per GB of data ingested ($0.30-$0.50/GB above a free 100 GB/month) plus per full-platform user ($349/user/year on Pro), which rewards lean data discipline and scales more cheaply at high host counts. Teams choosing between them are really choosing between Datadog's breadth of integrations and security tooling versus New Relic's more predictable, consumption-based model with stronger out-of-the-box APM depth.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
New Relic
Full-stack observability with 50+ monitoring capabilities
Best for you if:
- • You need DevOps features specifically
- • Full-stack observability platform with APM, infrastructure monitoring, and logs
- • Generous free tier: 100GB/month data ingest + 1 full-access user
Datadog
Cloud monitoring, security, and AI investigations for DevOps
Best for you if:
- • You need monitoring features specifically
- • Cloud monitoring and security platform
- • Unified observability across infrastructure
| At a Glance |  New Relic |  Datadog |
|---|---|---|
Starts at | FreeFree tier available | FreeFree tier available |
Best For | DevOps | Monitoring |
Rating | 4.4/5 | 4.4/5 |
Choose New Relic or Datadog?
Choose New Relic if
Full-stack observability with 50+ monitoring capabilities
- Generous free tier
- Full-stack observability
- AI insights
- Budget matters (Free vs Free)
- Your work is DevOps-shaped, not monitoring-shaped
Choose Datadog if
Cloud monitoring, security, and AI investigations for DevOps
- Comprehensive platform
- Great visualizations
- 700+ integrations
- Your work is monitoring-shaped, not DevOps-shaped
| Feature | New Relic | Datadog |
|---|---|---|
| Pricing Model | Freemium | Freemium |
| User Rating | ★4.4/5 780 reviews | ★4.4/5 1,156 reviews |
| Categories | DevOpsAnalytics | MonitoringLog Management |
In-Depth Analysis
New Relic
Strengths
- +Generous free tier includes 100 GB/month data ingest, one full-platform user, and unlimited basic users, giving small teams full APM and infrastructure monitoring at zero cost
- +Per-GB ingest model is 3-5x cheaper than Datadog at scale for high-host, low-telemetry-volume workloads, with Pro plan full-platform users at $349/user/year
- +Deeper code-level APM diagnostics out of the box: the standalone agent auto-correlates traces, logs, and distributed tracing without requiring a separate infrastructure agent layer
- +Unified interface organizes all 50+ capabilities (APM, logs, infra, browser, mobile, synthetics, AIOps) into a single navigation pane, reducing context-switching for on-call engineers
- +New Relic AI (formerly Grok) surfaces incident root causes and pinpoints the affected service and code path, reducing mean time to detect for instrumented applications
Weaknesses
- -Per-GB pricing punishes verbose logging: a single noisy service or misconfigured log level can spike data ingest and double a monthly bill overnight without warning
- -Security monitoring lags Datadog. New Relic lacks a native SIEM and CSPM suite; teams with security observability requirements typically need a separate tool
- -Full-platform user seats at $349/user/year become expensive for large engineering orgs. Teams with 20+ engineers who need full dashboard access face significant per-seat costs on top of ingest fees
- -Some users report that operational complexity increases with scale, particularly when correlating entities across very large accounts with many data partitions
Best For
Teams with high host counts and moderate telemetry volume who prioritize APM depth, a genuinely free starting tier, and predictable per-GB billing over Datadog's per-host model.
New Relic's consumption-based model is a genuine cost advantage for teams that control their data volume, and its APM product has historically been the deeper of the two for code-level diagnostics. The tradeoff is security observability and the risk of surprise ingest bills if log discipline is not enforced. For application-centric teams less concerned with cloud security posture, it is often the more economical pick.
Datadog
Strengths
- +Over 1,000 built-in integrations covering cloud providers, databases, queues, SaaS tools, and custom agents, more than any direct competitor
- +Best-in-class security observability suite (Cloud SIEM, CSPM, Application Security Monitoring) all natively integrated into the same platform and dashboards
- +Watchdog AI automatically surfaces anomalies and root-cause candidates across metrics, logs, and traces without manual threshold configuration
- +Dashboard and alerting UX is consistently rated the most polished in the category, with drag-and-drop widgets, templating, and trace explorer that teams adopt quickly
- +Per-product modularity lets teams start with infrastructure monitoring and adopt APM, logs, RUM, or synthetics incrementally without a full platform migration
Weaknesses
- -Per-host billing becomes expensive as infrastructure scales: a 500-host fleet with APM easily exceeds $25,000/month before logs or custom metrics
- -Custom metrics overages are notoriously unpredictable. A single misconfigured high-cardinality metric (e.g., one metric per user ID) can add five-figure surprise charges to a monthly bill
- -Proprietary agent and metrics format create deep vendor lock-in. Teams not running OpenTelemetry face 8-16 weeks of re-instrumentation work to migrate away
- -Each additional product (APM, logs, RUM, security) is priced and licensed separately, so total cost compounds in ways that are hard to forecast during procurement
Best For
Teams that need a unified security-and-observability platform across large, complex cloud infrastructure and can afford premium per-host pricing in exchange for best-in-class integrations and dashboards.
Datadog is the safest choice for enterprises that require deep security observability alongside infrastructure and APM on one platform. Its integration breadth and polished UX justify the cost for teams with mature DevOps practices. The main risk is cost: without active spend governance, bills scale quickly and unpredictably as host counts and product usage grow.
Head-to-Head Comparison
Pricing
New Relic winsNew Relic's 100 GB free tier and per-GB overage model ($0.30/GB on standard) means a 100-host environment with moderate telemetry can cost a fraction of Datadog's $15-$23/host/month infrastructure charge plus $31/host APM. Datadog wins only when host count is very low (under 20 hosts) and teams need many separate Datadog products already bundled.
APM and Code-Level Diagnostics
New Relic winsNew Relic's APM agent is standalone and auto-correlates distributed traces, logs-in-context, and error profiles without requiring the infrastructure agent layer that Datadog APM depends on. Independent benchmarks consistently rate New Relic's code-level profiling and transaction trace detail ahead of Datadog's for pure APM use cases.
Security Monitoring
Datadog winsDatadog's Cloud SIEM, CSPM, and Application Security Monitoring are native, deeply integrated products with detection rules, SOAR workflows, and compliance dashboards. New Relic has no equivalent native SIEM or CSPM offering. Teams that need security observability alongside application monitoring have no real choice here.
Integrations and Ecosystem
Datadog winsDatadog offers over 1,000 native integrations versus New Relic's more limited but still broad catalog. For less common data sources (hardware, niche SaaS, custom protocols) Datadog almost always has a ready-made integration, while New Relic often requires custom instrumentation via the OpenTelemetry path.
Ease of Setup and Onboarding
New Relic winsNew Relic's unified interface and guided onboarding get teams from zero to instrumented APM faster, especially for application developers. Datadog's modular product structure means each new capability (APM, logs, RUM) requires a separate configuration step and agent layer, which slows initial setup for teams new to the platform.
Cost Predictability
TieBoth platforms carry predictability risks, just in different dimensions. Datadog's high-water-mark host billing and custom metrics overages create surprise charges on the host and metrics axis. New Relic's per-GB model creates surprise charges when logging verbosity spikes. Neither is clearly safer without active spend monitoring.
Migration Considerations
Teams running Datadog's proprietary agent face a substantial re-instrumentation effort (typically 8-16 weeks) to migrate to New Relic. Adopting OpenTelemetry as a collection layer first reduces that effort to a backend exporter swap, and is the recommended path for any team considering a future migration in either direction.
Pricing: New Relic vs Datadog
| Plan | New Relic | Datadog |
|---|---|---|
| Tier 1 | Free Free | Free Free |
| Tier 2 | $10 Standard | $15 /host/month (annual) Infrastructure Pro |
| Tier 3 | $349 Pro | $23 /host/month (annual) Infrastructure Enterprise |
| Tier 4 | Enterprise | $31 /host/month (annual, with Infra) APM |
| Tier 5 | N/A | $40 /host/month (annual, with Infra) APM Enterprise |
Pricing verified from each vendor's public pricing page. Compare in detail on New Relic pricing and Datadog pricing.
Who Should Use What?
On a budget?
Both are freemium. Compare plans on their websites.
Go with: New Relic
Want the highest-rated option?
New Relic: 4.4/5 (780 reviews). Datadog: 4.4/5 (1,156 reviews).
Go with: New Relic
Value user reviews?
New Relic: 780 reviews (4.4/5). Datadog: 1,156 reviews (4.4/5).
Go with: Datadog
3 Questions to Help You Decide
What's your budget?
Both are freemium. Pricing won't help you decide here.
What's your use case?
New Relic is a DevOps tool. Datadog is in monitoring. Pick the category that matches your needs.
How important are ratings?
Both are rated 4.4/5.
Key Takeaways
Datadog
- Larger review base (1,156 reviews)
- Free tier available
- Our pick for this comparison
New Relic
- Better fit for DevOps
The Bottom Line
Choose Datadog if your team operates in a security-conscious environment (fintech, healthcare, regulated cloud), needs the broadest integration coverage, or already uses multiple Datadog products where the per-host model becomes cost-efficient by consolidation. Choose New Relic if your priority is deep APM diagnostics, you are cost-sensitive at high host counts, or you want a genuinely free starting tier for a small team that can scale without re-platforming. The pricing gap is real: New Relic is typically 3-5x cheaper for application-centric monitoring at mid-market scale. The security gap is equally real: Datadog's native SIEM and CSPM have no equivalent in New Relic as of mid-2026.
Frequently Asked Questions
How much does Datadog cost per month for a 100-host environment with APM?
At annual billing rates, infrastructure monitoring costs $15/host/month (Pro) and APM adds $31/host/month, totaling roughly $4,600/month for 100 hosts with APM before log ingestion or custom metrics overages. Monthly (on-demand) billing is higher, starting at $18/host for infrastructure.
Is New Relic's free tier genuinely useful for production monitoring?
Yes. The free tier includes 100 GB of data ingest per month, one full-platform user with access to all 50+ capabilities (APM, distributed tracing, infra monitoring, logs, browser, synthetics), and unlimited basic users who can query dashboards and set alerts. Small teams and solo engineers can run meaningful production observability at no cost.
Which platform is cheaper at scale for a 500-host microservices environment?
New Relic is typically 3-5x cheaper at that scale. Datadog's 500-host infrastructure-plus-APM bill would exceed $23,000/month annually; New Relic's cost depends on data volume rather than host count, so a disciplined team controlling log verbosity can cover the same environment for significantly less, though high-ingest environments close the gap.
Does New Relic have security monitoring comparable to Datadog?
No. As of mid-2026, New Relic does not offer a native Cloud SIEM or CSPM product. Teams with security observability requirements (threat detection, compliance posture, cloud misconfigurations) need to pair New Relic with a dedicated security tool. Datadog's native Cloud SIEM and CSPM are a genuine differentiator for security-focused organizations.
How difficult is it to migrate from Datadog to New Relic (or vice versa)?
Migration difficulty depends on instrumentation approach. Teams using OpenTelemetry can switch backends in roughly one week by reconfiguring the Collector exporter. Teams on proprietary Datadog agents typically require 8-16 weeks to re-instrument first with OTel before switching. New Relic offers migration tooling and a similar UX paradigm, making it the easiest direct SaaS-to-SaaS migration target from Datadog.
Which platform has better AI-powered alerting and anomaly detection?
Both platforms have invested in AI, but with different strengths. Datadog's Watchdog automatically surfaces anomalies across metrics, logs, and traces without manual thresholds. New Relic AI (Grok) focuses on incident analysis, pinpointing the affected service and code path during active incidents. Datadog edges out on proactive anomaly discovery; New Relic edges out on guided root-cause analysis during incidents.