features
Integrations
edge: Datadog
Datadog
Largest catalog (700+) of turnkey integrations.
New Relic
Strong catalog, somewhat smaller.
Observability · Updated 2026-06-06
Datadog vs New Relic
Both are mature, full-stack observability suites covering metrics, traces, logs, and more. Datadog has the widest integration catalog and the slickest product surface, but its per-host plus per-feature pricing can balloon as you turn things on. New Relic consolidated onto a single platform with consumption pricing (data ingested + per-user), which is often cheaper for smaller teams and simpler to reason about. Choose on pricing model and integration needs, since feature parity is close.
The capabilities overlap heavily; the real difference is the bill. Datadog charges per host and per product line, which rewards careful enablement and punishes "turn everything on." New Relic charges for data volume and seats. Model your own usage against both before committing.
Quick takes
If you're…
- You need a specific niche integration Datadog Datadog has the largest catalog of turnkey integrations.
- You have a small team and want predictable cost New Relic Consumption + per-user pricing is easier to forecast at small scale.
- You want the most polished dashboards and APM UX Datadog Datadog is widely regarded as the most refined product surface.
- Your spend is dominated by a few heavy hosts Datadog Per-host can work in your favor when host count is low and dense.
- You ingest huge log/telemetry volume New Relic Model it carefully — data-volume pricing can favor either, but New Relic bundles more.
Decision wizard
A few questions, a verdict.
At a glance
The scorecard.
Dimension
Datadog
New Relic
Edge
In depth
Dimension by dimension.
ops
Pricing model
depends
Datadog
Per-host plus per-product; flexible but easy to over-spend.
New Relic
Consumption (data ingest) + per-user; simpler to forecast.
core
Product UX
edge: Datadog
Datadog
Widely seen as the most polished dashboards and APM.
New Relic
Unified UI after the New Relic One consolidation.
core
Signal coverage
tie
Datadog
Metrics, traces, logs, RUM, security, CI, and more.
New Relic
Metrics, traces, logs, RUM, and more in one platform.
ecosystem
OpenTelemetry
tie
Datadog
Supported alongside its own agent.
New Relic
Strong OTel posture and ingest.
ops
Lock-in risk
depends
Datadog
Proprietary agent + many features deepen coupling.
New Relic
Proprietary, but consumption model is easier to cap.
When to pick neither
A different shape of problem.
- You want open-source, self-hosted observability
- HoneycombYou want high-cardinality, event-based debugging
- Grafana CloudYou want managed open-source stack without the per-host model
Situational picks
For specific cases.
A large org wanting one polished pane of glass
Datadog
Breadth of integrations and refined UX justify the premium at scale.
A startup watching the observability bill
New Relic
Consumption + per-user pricing is easier to predict and cap.
You live or die by one obscure integration
Datadog
Datadog most likely already has it.
You want to avoid SaaS lock-in entirely
An open-source stack (Prometheus/Grafana/Loki/Tempo)
Self-hosting trades convenience for control and cost certainty.
Sources
Primary material.
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