Better Stack vs TrackJS: A Complete Comparison for 2026

If you're looking for a tool that catches JavaScript errors before your users have to file support tickets, TrackJS is worth your time. It's been doing exactly that for 13 years, and the focus shows. The agent is small, the setup is fast, and the browser-side context it gives you around each error is genuinely good.

Better Stack approaches error tracking from a different angle. You get Sentry-compatible error monitoring, but it lives inside a platform that also handles your logs, metrics, distributed traces, incident management, and status pages. The error tracking itself costs roughly one-sixth of what Sentry charges, and the AI debugging workflow is built around tools you're probably already using, like Claude Code and Cursor.

So which one makes sense for you? That depends mostly on what you need beyond error tracking. If you just want to catch browser bugs and nothing else, the comparison is straightforward. If you're picking a monitoring stack you'll build around for the next few years, the scope difference between these two tools matters a lot more than any individual feature.

Quick comparison at a glance

How each platform approaches error tracking

TrackJS was built from day one as a browser-native error monitor. Its agent is 8 kilobytes with no dependencies, and you can have it running in two lines of HTML or a single npm install.

It automatically picks up unhandled exceptions, rejected promises, console errors, and network failures. The part that makes it genuinely useful, though, is the telemetry timeline it records before each error fires: the clicks, page navigations, network requests, and console output that led up to the problem. When a stack trace alone doesn't tell you what happened, that timeline usually does.

Better Stack's error tracking starts from a different place. It accepts Sentry SDK payloads, so if you're already instrumented, switching means updating a DSN endpoint rather than rewriting your setup. Errors show up alongside the distributed traces, log lines, and infrastructure metrics from the same request, giving you the full picture rather than just the browser-side symptom.

The real difference between these two tools isn't about any one feature. It's about what each product is built to answer. TrackJS is built to tell you what broke in the browser and what the user was doing before it happened. Better Stack is built to tell you what broke, why it broke, and what was happening across your entire system when it did.

That scope gap matters depending on where you are right now. TrackJS is a single-product tool, and that's a deliberate choice on their part. Better Stack is a platform where error tracking is one piece alongside logs, metrics, traces, uptime monitoring, incidents, and status pages. If you're only shopping for error tracking, that's background information. If you're thinking about your whole observability setup, it becomes the main question.

Error tracking

Better Stack

Better Stack error tracking accepts Sentry SDK payloads directly, so if you're already using Sentry to instrument your app, you can switch without touching your code. Just point the DSN at Better Stack and you're done.

Here's how the error tracking interface works in practice:

When a JavaScript exception fires in your app, you don't just see the error. You see the backend distributed trace for that same request alongside it: the database queries that were slow, the service that returned a 500, the deployment that went out ten minutes before error rates started climbing. That context comes automatically without any extra configuration on your end.

The AI debugging integration is also built in by default. Every error comes with pre-made prompts loaded with full context that you can copy straight into Claude Code or Cursor. Instead of reading through stack traces and trying to piece together what happened, you hand it off to your AI coding tool and let it suggest a fix. Here's how that works through the MCP server:

Pricing is simple: you get 100,000 exceptions free every month, then pay $0.000050 per exception after that. If you're generating 5 million exceptions a month, that works out to $245. There are no caps on applications, no per-seat fees for accessing error data, and no rate limits per minute.

Error management covers the practical stuff too: snooze controls, release tracking, configurable grouping rules, one-click issue creation in Linear or Jira, and notifications in Slack and MS Teams. If something needs immediate action, you can escalate directly to an incident with on-call paging without leaving the interface.

TrackJS

The AI Code Debugger is TrackJS's answer to a problem that's gotten more common as AI coding tools have taken off. When you're shipping features written by Cursor or Copilot and they start failing in production on edge cases, timing conditions, or browser-specific behavior that the AI didn't account for, you need more than a stack trace. The debugger looks at the telemetry and the source code together and tells you what went wrong and what to do about it. If you're shipping AI-generated code to production regularly, this workflow is genuinely useful.

Pricing works differently here. Instead of charging per exception, TrackJS charges based on your monthly page view traffic. The Starter plan is $45/month for 100,000 page views, Professional is $91/month for 1 million page views, and Business starts at $183/month for 5 million or more. The upside of this model is predictability: your bill stays flat even when errors spike. The downside is that you're paying for traffic whether or not errors are happening, so a low-traffic app with a nasty bug doesn't cost any less than a low-traffic app running cleanly.

Error filtering is built around one-click discoverable filters rather than a query language, which means you don't need to learn any syntax to find what you're looking for. Unlimited server-side ignore rules let you strip out third-party script noise before it muddies your error data. Errors get ranked by user impact rather than raw frequency, so a console error from a Chrome extension hitting 12 users doesn't crowd out a checkout failure hitting 4,000. Are you currently wading through third-party script noise to find your real errors?

Browser compatibility is worth mentioning if your user base is unusual. TrackJS has 13 years of production use across a very wide range of browsers, including older versions that newer tools may not have tested against carefully. If you're monitoring enterprise applications with locked-down browser environments or consumer apps where a meaningful slice of users are on old mobile browsers, that depth of compatibility matters. Better Stack's browser agent is newer, and for most apps the difference won't matter, but it's worth knowing.

The honest limitation: TrackJS doesn't cover backend errors beyond Node.js, and it doesn't touch logs, metrics, distributed traces, infrastructure monitoring, incident management, status pages, or on-call workflows. It's a frontend monitoring tool that's very good at being exactly that.

How it works and deployment

Better Stack

Setting up Better Stack error tracking is straightforward if you're already using Sentry. Point the SDK at Better Stack's ingestion endpoint and errors start flowing in immediately:

import * as Sentry from "@sentry/browser";

Sentry.init({
  dsn: "https://YOUR_KEY@ingest.betterstack.com/YOUR_PROJECT_ID",
});

Support covers JavaScript, Python, Ruby, Go, Java, .NET, PHP, and more. For net-new projects, Better Stack also has its own SDKs if you prefer not to go through the Sentry layer.

Once you're connected, every error that fires in your React app shows up in the same interface as your logs, metrics, and backend traces from that request. You're not switching tabs to find what was happening on the server when the browser error occurred.

TrackJS

TrackJS installation is about as minimal as it gets. The agent is 8 kilobytes with no dependencies:

<script src="https://cdn.trackjs.com/agent/v3/latest/t.js"></script>
<script>
  TrackJS.install({ token: "your-account-token" });
</script>

You can also install via npm if you're working in a bundled project. Framework integrations are available for React (error boundary), Angular (ErrorHandler), Next.js, Vue, and others. The agent runs in a background buffer with no blocking behavior, so adding it to your site doesn't affect page performance in any measurable way.

If you're dealing with legacy browser support or complex third-party script environments, TrackJS's 13-year production track record is a genuine asset. It's been tested against more browser edge cases than most teams will ever encounter.

Pricing comparison

TrackJS and Better Stack charge for fundamentally different things, so a direct apples-to-apples comparison takes a bit of work.

Better Stack

Better Stack error tracking gives you 100,000 exceptions free every month. Beyond that, you pay $0.000050 per exception. If you're generating around 2 million exceptions monthly, that's roughly $95. There are no application limits, no per-seat access fees, and no rate limits that cut off error capture during busy periods.

The free tier is real. For smaller apps, 100,000 exceptions per month means you might not pay anything at all.

TrackJS

TrackJS ties your plan to monthly page view traffic rather than error volume. Here's how the tiers break down:

• Starter: $45/month - 100,000 page views, 1 application, 10-day retention, 800,000+ errors/month at 20/minute
• Professional: $91/month - 1 million page views, 5 applications, 15-day retention
• Business: $183/month - 5 million+ page views, 10+ applications, 30-day retention

The traffic-based model is genuinely predictable when your traffic is stable month over month. The tradeoff is that you're paying for your traffic whether errors are happening or not, and a high-traffic app with few errors pays more than a low-traffic app with a lot of them.

There's no free tier. You get a 14-day trial, but you'll need to be on a paid plan to monitor production continuously.

One thing worth paying attention to: TrackJS enforces per-minute error rate limits across all plans. Starter captures 20 errors per minute, Professional handles 60, and Business handles 90. During an error storm, those limits mean you won't see everything. If a bad deployment goes out on a Friday afternoon and errors start spiking to 500 per minute, Better Stack captures all of them. At TrackJS Starter you'd see 20. That's not an edge case - it's exactly the moment when you most need complete data.

Retention is another gap worth noting. TrackJS keeps 10 to 30 days of errors depending on your plan, with 30 days only available on the Business tier. Better Stack keeps 90 days across all plans. If your post-incident review process happens more than two weeks after an event, or if you have compliance requirements around log retention, that difference matters.

AI coding integration

Both tools have built AI workflows into their error tracking, though the scope is quite different.

Better Stack: AI SRE and MCP server

Better Stack works at two levels when it comes to AI. At the error level, every exception comes with context-loaded prompts you can drop directly into Claude Code or Cursor. You don't need to manually reconstruct what happened from a stack trace. The prompt carries the error, the trace, and the surrounding context, and your AI coding tool can take it from there.

At the incident level, the AI SRE kicks in automatically when an alert fires. It looks at your service map, queries your logs, checks what deployments went out recently, and delivers a root cause hypothesis before you've had a chance to pull up a dashboard. For a 3am page, getting handed a starting point rather than a blank screen is a meaningful difference.

The Better Stack MCP server goes further still. Once it's configured, your AI assistant can query your observability data directly: run SQL against your logs, check who's on-call, acknowledge incidents, surface error trends by service or time range. You're not copying data out of the monitoring tool and pasting it into a chat window. The AI assistant just has access.

TrackJS: AI Code Debugger

TrackJS's AI Code Debugger is focused specifically on the problem of AI-authored code failing in production. When you ship something that Cursor or Copilot wrote and it breaks on a real browser with real user data and real timing conditions, the AI Code Debugger looks at the Telemetry Timeline and the source code together and explains what went wrong. For teams that are actively leaning into AI coding workflows, this is a real workflow improvement over reading raw error logs.

That said, TrackJS's AI capabilities are scoped to the debugging experience. There's no autonomous incident investigation, no MCP server, and no natural language querying of your observability data.

What TrackJS doesn't cover (and Better Stack does)

TrackJS is deliberate about its scope: it monitors JavaScript errors and nothing else. That's a coherent product decision. But if you need anything beyond that, you're buying and managing separate tools. Here's what that looks like in practice.

Log management

The first thing you'll want to check when an error fires in production is the logs. With TrackJS, that means opening a separate tool, searching in a separate interface, and manually connecting what you find there to the error you're investigating. With Better Stack, the logs are already right there, correlated with the error, queryable with SQL.

Every ingested log is immediately searchable with no indexing step and no rehydration delay. Pricing is $0.10/GB to ingest and $0.05/GB per month to store. A service pushing 100 GB a month runs about $15.

Incident management

Better Stack includes on-call scheduling, escalation policies, unlimited phone and SMS alerts, and Slack-native incident workflows at $29/month per responder. TrackJS has no incident management at all. If you're running TrackJS and you need on-call alerting, you're paying for PagerDuty or OpsGenie on top of it. Are you currently managing two or three separate billing relationships to handle what Better Stack covers in one?

When you're comparing all-in costs, PagerDuty runs $49 to $83 per user per month for comparable on-call functionality. Better Stack's $29/responder/month covers unlimited phone and SMS, on-call scheduling, escalation policies, Slack incident channels, post-mortems, and AI SRE investigation, all in the same platform where your errors live.

Status pages

Better Stack status pages sync automatically with your incident management. When you declare an incident, the status page updates. Subscriber notifications go out by email, SMS, Slack, or webhook. TrackJS has no status page product.

Session replay

Better Stack session replay is $0.00150 per replay and lets you watch user interactions correlated with the errors and traces from the same session. You can see the replay, the stack trace, and the backend trace all in the same view. TrackJS deliberately skips session recording in favor of the Telemetry Timeline, which captures what the browser did without recording what the user looked like doing it.

Both approaches have merit. If you have strict data handling requirements or simply prefer not to record user sessions, TrackJS's design fits that well. If you want to watch the exact path a user took before hitting a crash, Better Stack's replay links that directly to the error and backend context.

Infrastructure monitoring and APM

Neither of these is on TrackJS's roadmap; it's a frontend tool. Better Stack's infrastructure monitoring uses eBPF-based auto-instrumentation to collect metrics without requiring code changes, and the APM captures distributed traces across your services automatically.

Here's how that tracing works in practice:

Think about a "fetch failed" error in the browser. That error could come from a database that ran out of connections, an API service that timed out, a misconfigured load balancer, or a deployment that introduced a regression. TrackJS tells you the fetch failed. Better Stack shows you which of those things actually caused it. How long does your team typically spend moving between tools before finding the root cause of a browser error?

Platform scope comparison

Security and compliance

TrackJS is private by design. The agent collects only what it needs to reproduce and fix errors: no cookies, no user profiles, no session recordings by default. Their security policy covers data processing, retention policies, and GDPR compliance through a Data Processing Agreement.

Better Stack is SOC 2 Type II certified and GDPR compliant, with data stored in ISO/IEC 27001-certified data centers. You get SSO and SAML through Okta, Azure, or Google, AES-256 encryption at rest, TLS in transit, SCIM provisioning, RBAC, audit logs, and regular third-party penetration testing. Enterprise customers can access the pen test reports directly.

Neither platform is HIPAA compliant right now. For most web application contexts, both satisfy what you need. If you're in healthcare or a regulated industry with specific HIPAA or FedRAMP requirements, neither is currently the right answer.

Final thoughts

If all you need is a clean, reliable way to catch JavaScript errors in the browser, TrackJS is a good tool. The Telemetry Timeline gives you useful context around each error. The AI Code Debugger handles the increasingly common problem of AI-generated code failing in ways the AI didn't anticipate. The privacy-first approach works well if you'd rather not store session recordings. And the traffic-based pricing means your bill won't surprise you when something goes wrong and errors start spiking.

But if you need to connect those browser errors to what was happening in your backend, or if you need on-call alerting, incident management, log analysis, or a status page without adding separate tools to your stack, TrackJS won't get you there. Better Stack covers all of it, error tracking included, at a lower per-exception cost than Sentry with a free tier that covers a lot of smaller apps entirely.

The practical question is whether you want a single purpose-built tool or a platform you can grow into. TrackJS is excellent at its job. Better Stack does that job and everything that tends to surround it in production systems.

Ready to try Better Stack? Start your free trial and have error tracking running in minutes. Your existing Sentry SDKs work as-is.

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