Plimsoll vs New Relic
Plimsoll vs New Relic. With today's scores.
New Relic bundles APM, infrastructure, and browser monitoring into a single platform on consumption-based pricing. Plimsoll changes the conversation by decoupling the bill from telemetry volume, by joining OTLP + Prometheus natively, and by keeping remediation fenced inside the workload that owns the signal so cross-service actions still escalate to a human.
| Capability | PlimsollAutonomous AIOps on OpenTelemetry + Prometheus. | New RelicFull-stack observability with consumption-based pricing. |
|---|---|---|
Alert-noise reductionOne correlated incident replaces a stack of silo alerts — only cross-service events page a human. | Native | Partial AIOps correlation is opt-in; defaults still page on per-signal thresholds. |
OpenTelemetry as the data planeJoins OTLP + Prometheus pipelines natively instead of asking for a parallel telemetry stack. | Native | Good OTLP ingest supported; New Relic agent and APM remain the primary path. |
Flat per-workload pricingOne number per monitored workload, per month — no per-host, per-metric, or per-log charge. | Native | Limited Consumption pricing charges by data ingested and by user. |
Multi-cloud + Kubernetes from one paneAWS, Azure, GCP, and K8s signals correlate without per-cloud connectors or per-region joins. | Native | Good Multi-cloud support exists; correlation requires explicit cross-account setup. |
Fenced remediation inside the workload blast radiusAuto-actions stay inside the workload they own — anything cross-service escalates to a human. | Native | Partial Workflows available but fencing is operator-defined, not workload-scoped by default. |
Today's scores reflect each platform's current positioning.
Where Plimsoll wins
Per-workload pricing decouples the bill from telemetry volume, so correlation work is not penalized.
Keep comparing
See Plimsoll scored against the rest of the field, the pricing breakdown, or answers to the five questions prospects ask before they buy.