CIOPages

New Relic vs Honeycomb

New Relic and Honeycomb are both evaluated in the CIOPages Observability & APM Platforms Buyer's Guide. The guide groups New Relic under Consumption Model and Honeycomb under High-Cardinality.

AttributeNew RelicHoneycomb
ApproachConsumption ModelHigh-Cardinality
Best forMid-market and developer-focused teams that want strong APM with usage-based pricing and a low-friction, free-tier on-rampEngineering teams running complex distributed systems that want to ask arbitrary, high-cardinality questions of production and debug fast

From the Observability & APM Platforms Buyer's Guide, updated June 2026. 8 vendors evaluated.

New Relic

Start free and stay competitive at mid-market scale, but check the per-user line before you commit: a long APM heritage paired with a simplified consumption model billing on data ingested plus billable users, a genuinely generous free tier at 100GB of ingest a month, strong developer experience, and full-stack coverage on one telemetry database. It is now privately held under Francisco Partners and TPG, so track roadmap and support investment under PE ownership. That per-user line can surprise large teams even when ingest looks cheap, platform breadth trails Datadog, and AIOps trails Dynatrace.

New Relic in the full guide

Honeycomb

For the unknown-unknowns a pre-built dashboard cannot reach: capture wide events with unlimited custom attributes and slice by any dimension — user, request, build, feature flag — with BubbleUp surfacing what makes anomalous traces different, event-based rather than per-host pricing, OpenTelemetry-native ingestion, and a developer- and IDE-facing AI assist. It is a focused tracing-and-events tool, not a full infrastructure-monitoring suite, so most adopters pair it with metrics tooling for the steady state. Event-volume pricing still rewards sampling discipline, and the ecosystem and footprint are smaller than the incumbents’.

Honeycomb in the full guide

Also evaluated in this guide

Chronosphere, Datadog, Dynatrace, Elastic Observability, Grafana Labs, Splunk Observability

Related comparisons

Editors choose the vendors and write the evaluations. Paying CIOPages does not change how a vendor is covered. Editorial policy