New Relic

What it is

New Relic is a managed observability platform that combines application performance monitoring (APM), infrastructure metrics, distributed tracing, logs, browser and mobile monitoring, and synthetic checks into one product, queried through a single data store (NRDB) and a proprietary query language (NRQL). It was founded in 2008 by Lew Cirne and was one of the products that popularized SaaS-based APM. In November 2023, New Relic was taken private in a roughly $6.5 billion acquisition by private equity firms Francisco Partners and TPG, ending its run as a public company.

Today the platform positions itself around consolidating “full-stack” telemetry in one place rather than stitching together separate tools per signal type, and it has been layering AI-assisted investigation features (anomaly detection, natural-language querying, incident summarization) on top of that unified data store.

Why teams choose it

• Single data model across signals. Metrics, traces, logs, and events all land in the same backend and are queryable with one language (NRQL), which avoids the correlation gaps you get when stitching together separate metrics/tracing/logging vendors.
• Fast time-to-value with auto-instrumentation. Language agents for most major stacks (Java, .NET, Node, Python, Go, Ruby, PHP) give broad APM coverage with minimal manual instrumentation work.
• Broad first-party surface area. Beyond APM, it covers infrastructure, browser/mobile RUM, synthetics, and log management natively, which reduces vendor count for teams that want one throat to choke.
• Pricing complexity is a real complaint. The historical per-seat-plus-ingest model made costs hard to predict as teams and data volumes grew; New Relic has been introducing consumption-based options to address this, but the transition adds its own complexity to evaluate.

Pricing model

New Relic uses usage-based pricing driven primarily by data ingested (per GB) plus a charge for the number of billable (full-platform) users, with a free monthly data allowance before ingest charges apply. It also offers a newer, unified consumption-based option billed on platform activity (queries, alerts, dashboard usage) rather than ingest and seats, aimed at simplifying cost prediction for larger accounts. As with most SaaS observability vendors, actual costs depend heavily on data volume and retention choices, so qualitative comparisons (rather than quoted figures) are the reliable way to reason about cost.

Alternatives

The closest comparisons are Datadog and Dynatrace, both of which offer similarly broad all-in-one commercial platforms spanning metrics, traces, logs, and infrastructure monitoring, with their own usage-based pricing models and AI-assisted features. Teams looking to avoid vendor lock-in and per-seat/ingest pricing often assemble an open-source stack instead, combining Prometheus or Grafana Mimir for metrics with Grafana for visualization, or adopt Grafana Cloud as a managed alternative built on those same open-source components.