New Relic Alternatives Compared

We've run New Relic on three different teams over the last few years, and every time the same conversation comes back around at renewal. Someone opens the bill, someone else opens the usage dashboard, and a third person asks why we're paying for user seats nobody logs into. New Relic isn't bad software. But the reasons teams start shopping are real, and they're worth naming before we get into who else is out there.

Why teams start looking#

The pricing model is the usual trigger. New Relic moved to a data-plus-users scheme where you pay per gigabyte ingested and per full-platform user. That sounds clean until a noisy service starts shipping 400GB a month, or your finance team counts every engineer who needs to read a dashboard as a billable seat. Ingest-based pricing punishes exactly the teams doing the most instrumentation, which is backwards from what you want.

The other trigger is feature-shaped. Some teams outgrow the query language and want raw PromQL. Some want to own their data for compliance and can't send traces to a US-hosted SaaS. Some hit sampling limits on high-cardinality data and realize the tool wasn't built for the debugging they actually do. None of that means New Relic failed. It means the fit drifted.

The main alternatives#

Datadog is the one everybody benchmarks against. It's the broadest platform in the space: APM, infra, logs, RUM, synthetics, security, all stitched together with genuinely good dashboards. The tradeoff is that Datadog's pricing is at least as aggressive as New Relic's, sometimes more, and it's split across so many SKUs that forecasting the bill is its own job. Best for teams that want one vendor for everything and have the budget to not think about it. No self-host.

Dynatrace plays at the enterprise end. Its OneAgent auto-instruments a host and discovers your whole topology without much manual wiring, and the Davis AI does root-cause analysis that's better than the marketing usually is. You pay for it. Dynatrace pricing runs high and the sales motion is very much enterprise procurement, not swipe-a-card. Best for large orgs with complex estates and a mandate to reduce mean time to resolution. Managed self-host exists for regulated shops.

The Grafana stack (Grafana plus Mimir, Loki, and Tempo) is the open-source route. You assemble metrics, logs, and traces from components you can run yourself, and Grafana Cloud exists if you'd rather not. This is the most flexible and potentially the cheapest option, and it's the one that costs you the most in engineering time. You're the integrator. Best for teams that already live in Prometheus and want to keep control. Fully self-hostable.

SigNoz is the newer open-source challenger built natively on OpenTelemetry and ClickHouse. It gives you APM, logs, and traces in one product with a single query layer, and because storage is ClickHouse it handles high-cardinality data without flinching. It's less mature than the incumbents and the ecosystem is thinner, but for a lot of teams that's a fair trade. Best for cost-sensitive, cloud-native teams who've committed to OpenTelemetry. Self-host is the default; managed cloud is available.

Elastic APM makes sense when you're already running Elasticsearch. It folds traces and metrics into the same cluster your logs already live in, so you get one place to search across all three. The catch is that operating Elasticsearch at scale is a real skill, and if you don't already have it, this isn't the reason to acquire it. Best for teams with an existing Elastic investment. Self-host or Elastic Cloud.

Honeycomb is a different philosophy. It's built for high-cardinality, event-driven debugging: you ask arbitrary questions of your traces and it answers fast, without pre-defined dashboards or sampling that throws away the weird outlier you're chasing. It's not trying to be your infra monitor. Best for teams practicing observability-driven development who debug by exploration. SaaS only.

AppDynamics (now under Cisco/Splunk) leans toward business-transaction monitoring and the enterprise buyer. It maps application performance to business outcomes in a way that resonates with non-engineering stakeholders. It feels heavier and more legacy than the cloud-native tools, and pricing is enterprise-quote territory. Best for large enterprises where the app-to-revenue story matters as much as the traces.

Quick comparison#

Tool	Best for	Pricing model	Self-host
Datadog	All-in-one breadth	Per-host + per-feature SKUs	No
Dynatrace	Enterprise auto-discovery	Per-host / consumption units	Managed only
Grafana stack	Prometheus-native teams	Free OSS / usage-based cloud	Yes
SigNoz	Cloud-native, OTel-first	OSS free / usage-based cloud	Yes
Elastic APM	Existing Elasticsearch shops	Resource-based / cluster	Yes
Honeycomb	High-cardinality debugging	Event-volume tiers	No
AppDynamics	Business-transaction focus	Enterprise quote	Managed only

Picking by scenario#

If you're cost-sensitive, go open source. SigNoz if you're starting fresh on OpenTelemetry, the Grafana stack if you already speak Prometheus. Both trade money for engineering time, so be honest about whether you have the second thing to spend.

If you're enterprise with a complex estate and a compliance department, Dynatrace or AppDynamics. The auto-discovery and the procurement-friendly contracts are the point, and the price reflects it.

If you're cloud-native, running Kubernetes and shipping OpenTelemetry already, SigNoz or the Grafana stack line up with how you already work. Honeycomb belongs here too if your pain is debugging weird production behavior rather than watching CPU graphs.

If you're already on Elasticsearch, Elastic APM is the low-friction answer. You avoid standing up a whole new backend and you get cross-signal search for free.

For a deeper walk through the individual APM tools and how their tracing internals differ, we've written that up separately.

Migration notes#

The move is easier than it used to be because most of these tools speak OpenTelemetry. If you instrument with OTel rather than a vendor agent, switching backends becomes a config change instead of a re-instrumentation project. That's the single best hedge against ever going through this again, so if you're touching the code anyway, rip out the proprietary agent and go OTel first.

Run the old and new tools in parallel for at least one full billing cycle. You want the new dashboards populated with real traffic and the same incidents visible in both before you cut the cord. Don't migrate alerts by hand-copying thresholds either; rebuild them from your actual SLOs, because the tools compute percentiles and windows differently and a blind copy will page you at the wrong times.

The call we'd make#

For most teams I'd start with SigNoz. It's OpenTelemetry-native, the pricing doesn't fight you, and you can self-host or buy the cloud version without re-instrumenting. If you're a large enterprise with the budget and a mandate to cut resolution time, Dynatrace earns its price. And if the honest answer is that your team won't operate infrastructure, Datadog is the safe SaaS default even though you'll pay for the privilege. Whatever you pick, instrument with OpenTelemetry so the next renewal conversation is a shrug instead of a project.