We compared Highlight.io, Datadog, Bugsnag, New Relic, and Monoscope across session replay, distributed tracing, open source, and pricing. Whether you need visual debugging, enterprise-scale tracing, or a budget-friendly API-first option, here's the error tracking tool for your stack.
when a user reports a bug, you can't always reproduce it. when an API endpoint fails, you might not know until the pager goes off at 3am. modern full-stack applications — frontend JS, backend services, databases — produce errors across layers, and the old approach of grepping logs doesn't cut it anymore. the shift is toward unified observability: one tool that captures errors, traces, and context from every part of your stack.1
here are the five best error tracking tools for full-stack applications in 2025, ranked by what they do best.
highlight.io combines error tracking with session replay, giving you a video-like playback of exactly what the user did before an error occurred. it's open-source (self-hostable) and built on OpenTelemetry, so it fits naturally into modern observability stacks.1
the session replay is the standout feature: you see the user's screen, console logs, network requests, and DOM state at the moment of failure. for frontend-heavy applications, this cuts debugging time dramatically.
| Session Replay | Distributed Tracing | Open Source | Pricing |
|---|---|---|---|
| ✅ Full | ✅ Yes | ✅ Yes | Free tier + self-host |
Datadog APM is the gold standard for large-scale production environments. it ingests traces, metrics, and logs from every service in your architecture and correlates them into a single view.3
distributed tracing is where Datadog shines: you can follow a single request across your frontend, API gateway, microservices, and database queries. it's expensive, but for teams running 50+ services, the debugging speed is worth the cost.
| Session Replay | Distributed Tracing | Open Source | Pricing |
|---|---|---|---|
| ✅ Full | ✅ Yes | ❌ No | Per-host, enterprise |
Bugsnag pioneered the "stability score" — a single metric that tells you whether your application is getting more or less stable over time. it prioritizes errors by user impact, so you fix the bugs that affect the most people first.2
Bugsnag supports web, mobile, and backend SDKs, and its dashboard groups errors by fingerprint (not just stack trace). this means duplicate occurrences collapse into one issue, reducing noise significantly.
| Session Replay | Distributed Tracing | Open Source | Pricing |
|---|---|---|---|
| ❌ No | ❌ No | ❌ No | Per-event, free tier |
New Relic offers one of the most generous free tiers in observability: 100 GB/month of data ingestion, full access to APM, distributed tracing, and errors inbox. for a startup or mid-size team, that's often enough to run production monitoring at zero cost.1
the errors inbox feature surfaces the most impactful errors and lets you assign, comment, and track resolution — turning error tracking into a team workflow.
| Session Replay | Distributed Tracing | Open Source | Pricing |
|---|---|---|---|
| ✅ Full | ✅ Yes | ❌ No | Free 100 GB/mo + paid tiers |
Monoscope is a newer entrant that focuses on being lightweight, API-first, and affordable. it ingests logs, traces, and errors into a single pipeline, with a clean query interface that feels like writing SQL against your observability data.3
if you don't need session replay or a rich UI, and you want to pay a fraction of what Datadog costs, Monoscope is a compelling option for engineering teams that prefer CLI and API workflows.
| Session Replay | Distributed Tracing | Open Source | Pricing |
|---|---|---|---|
| ❌ No | ✅ Yes | ❌ No | Low-cost, usage-based |
| Feature | highlight.io | Datadog | Bugsnag | New Relic | Monoscope |
|---|---|---|---|---|---|
| Session Replay | ✅ Full | ✅ Full | ❌ | ✅ Full | ❌ |
| Distributed Tracing | ✅ Yes | ✅ Yes | ❌ | ✅ Yes | ✅ Yes |
| Open Source | ✅ Yes | ❌ | ❌ | ❌ | ❌ |
| Pricing Model | Free + self-host | Per-host enterprise | Per-event, free tier | Free 100 GB/mo | Usage-based, low-cost |
choose a dedicated error tracker (like Bugsnag or highlight.io) when:
choose a full observability platform (like Datadog or New Relic) when:
choose an API-first tool (like Monoscope) when:
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