Cloudflare Observability, Datadog, and New Relic solve overlapping but genuinely different problems, and picking the wrong one means either overpaying for features you don't need or missing visibility you'll want the moment something breaks in production. I moved a mid-sized Workers-based API and its backend services through all three over the past month — instrumenting the same endpoints, generating the same traffic, and pulling the same incident out of each dashboard to see which one actually got me to a root cause fastest.
These three aren't quite apples-to-apples. Cloudflare's observability tools are built into the edge platform itself and are mostly free if you're already running Workers. Datadog and New Relic are full-stack, vendor-agnostic platforms that monitor everything from bare-metal servers to Kubernetes clusters to third-party APIs. If your entire stack lives on Cloudflare, this is a real three-way decision. If it doesn't, it's really Datadog vs. New Relic with Cloudflare as a free supplement.
Quick Comparison Table
| Feature | Cloudflare Observability | Datadog | New Relic |
|---|---|---|---|
| Pricing model | Included with Workers Paid plan ($5/mo base) | Per-host, per-product ($15–$41/host/mo + add-ons) | Per-GB ingested + per-user seats |
| Free tier | Yes, 7-day log retention on Workers Logs | 5 hosts, 1-day retention | 100 GB/month data ingest free |
| Scope | Edge/Workers-native only | Full-stack: infra, APM, logs, RUM, security | Full-stack: infra, APM, logs, RUM |
| Setup complexity | Zero-config for Workers | Moderate (agent install per host/service) | Moderate (agent install, OTel-friendly) |
| Non-Cloudflare infrastructure | Not supported natively | Fully supported | Fully supported |
| Billing predictability | High (flat, included) | Low (multiple compounding meters) | Medium (data + seats, fewer meters) |
Cloudflare Observability: Great If You Live on the Edge
If your app runs on Cloudflare Workers, this is genuinely the easiest monitoring setup I've used. Workers Logs, real-time Tail Workers, and native OpenTelemetry export come switched on with no agent to install and no separate contract to sign. For debugging a slow KV read or a failing Durable Object call, the built-in trace view got me to the answer faster than piping the same data into Datadog, mostly because there's zero translation layer between the platform and the observability tool.
The catch is scope. This only sees what happens on Cloudflare's edge. The moment your architecture includes a traditional backend, a database server, or infrastructure outside Cloudflare's network, you're back to needing a real APM platform — Cloudflare's own docs are honest about this and point you toward exporting telemetry to Datadog or another backend for anything beyond edge-native apps.
Datadog: Deepest Feature Set, Least Predictable Bill
Datadog is the most capable of the three once you're paying for everything you need. The dashboards are polished, the integration catalog is enormous, and correlating a slow API call across infrastructure metrics, APM traces, and logs in one screen is still the best experience of any tool I tested. For a mixed environment — some Kubernetes, some bare VMs, some third-party APIs — nothing else stitched the picture together as cleanly.
The pricing is where it gets uncomfortable. Infrastructure monitoring starts around $15 per host per month, APM adds another $31, and logs are billed separately per gigabyte on top of that. None of these numbers are hidden, but they compound fast — a microservices setup with a handful of services and verbose logging can blow past your original estimate within the first billing cycle. I'd budget conservatively and set alerts on your own usage dashboards before you're surprised by an invoice.
New Relic: Simpler Pricing, Still Deep Enough
New Relic's consumption model — pay for data ingested and users, not per host — was the most predictable of the paid options in my testing. A Kubernetes cluster that autoscales from 50 to 500 pods during a traffic spike doesn't multiply your bill the way it can on host-based pricing; only the actual data volume matters. The first 100 GB per month is free, and going over that runs about $0.40–$0.60 per GB depending on retention tier.
Feature-wise, it's close to Datadog for the core APM and infrastructure use cases, though I found a few of Datadog's more specialized dashboards (security monitoring, some of the synthetic testing views) more mature than New Relic's equivalents. If your team's pain point with observability tools has specifically been unpredictable per-host billing on a dynamic, autoscaling stack, New Relic's model is the more comfortable fit.
Setup and Day-to-Day Use
Cloudflare wins on setup time by a wide margin — there's nothing to configure if you're already on Workers. Datadog's agent-based install is straightforward but takes real time across a fleet of services, and I found myself tuning tag cardinality early to avoid custom-metric overages. New Relic's OpenTelemetry-friendly approach made instrumenting a mixed Node/Python backend less painful than I expected, though the query language (NRQL) has its own learning curve if you're used to Datadog's UI-driven approach.
For alerting, all three are capable, but Datadog's alert tuning felt the most mature — fewer false positives once configured, with good default thresholds. New Relic and Cloudflare both required more manual tuning to get alert noise down to a usable level.
Who Should Use Which
| You are... | Best pick |
|---|---|
| Running an app entirely on Cloudflare Workers | Cloudflare Observability (free, use it first) |
| Running a mixed stack and want the deepest feature set, budget isn't the top constraint | Datadog |
| Running an autoscaling, dynamic infrastructure and want predictable billing | New Relic |
| A small team that needs a single, simple bill | New Relic |
| An enterprise with security, RUM, and synthetics needs in one platform | Datadog |
Frequently Asked Questions
Can Cloudflare Observability replace Datadog or New Relic entirely?
Only if your entire application runs on Cloudflare's edge platform (Workers, Pages, and related products). It doesn't monitor traditional servers, databases, or infrastructure outside Cloudflare's network, so most teams use it alongside, not instead of, a full-stack platform.
Which is cheapest for a small team?
Cloudflare Observability is free if you're already on the Workers Paid plan. Among the two full-stack options, New Relic's free 100 GB/month tier and per-GB pricing tend to be cheaper for small teams than Datadog's per-host, per-product model.
Which has the best APM (application performance monitoring)?
Datadog and New Relic are close. Datadog's dashboards and correlation between infrastructure, APM, and logs felt slightly more polished in my testing, but New Relic covers the same core capabilities at a more predictable price for variable workloads.
Does Datadog or New Relic integrate with Cloudflare?
Yes, both. Cloudflare supports native log push and OpenTelemetry export to Datadog and New Relic, so teams running on Cloudflare's edge can send edge telemetry into either platform for a unified view alongside their backend data.
Is New Relic's pricing really more predictable than Datadog's?
In my testing, yes. New Relic bills primarily on data ingested and user seats, so autoscaling infrastructure doesn't directly increase your bill. Datadog's per-host, per-product model means every new host, container, or product you enable adds a new line item, which compounds faster in dynamic environments.
Which tool is easiest to set up?
Cloudflare Observability, if you're on Workers — it requires no agent install. Between Datadog and New Relic, New Relic's OpenTelemetry-native approach was slightly faster to get running on a mixed-language backend in my testing.
For official documentation, see Cloudflare Workers Observability docs, Datadog's getting started guide, and New Relic's pricing documentation.