PostHog vs Honeybadger: A Hands-On Error Tracking Comparison for 2026

The 1.2.0 release of my test app broke two things at once: it slowed checkout's database query to seconds and started rejecting one payment in five. PostHog found the slow query in its traces within a couple of clicks, then split the payment bug into two issues. Honeybadger kept the payment bug in one group and linked it to the deploy, then needed my app's own warning logs to show the slowdown at all.

Each tool saw half of that release clearly. PostHog is a product analytics platform that has absorbed error tracking, so recordings, logs, traces and an assistant arrive with it, each metered past a generous monthly allowance.

Honeybadger is a small, independent error tracker that bundles its extras into flat plans. A single JavaScript package covers the browser and the server, and Insights adds logs, events and a query language, BadgerQL. Uptime checks, cron check-ins and status pages come in the same subscription.

Both ran on the same bookstore app, front end and API, through three releases, so this comparison is head to head. Where I skipped a feature, like Honeybadger's uptime checks, I've labelled it.

You'll find them compared on setup, capture, source maps, the error page, replay, grouping, releases, performance, logs, alerts, AI and price.

PostHog vs Honeybadger: Results at a glance

These results come from one Express and Vite app, PostHog on its free plan and Honeybadger on a trial, each configured from its own docs. A different stack or plan could shift a few rows.

How I tested PostHog and Honeybadger

The app under test is monitoring-lab, a bookshop wired to fail. Its storefront, built with Vite, calls an Express service backed by SQLite. A mock pricing API breaks on schedule, and a reporting task runs each minute. Every tool gets plugged into the same two adapter files, one per tier.

Bugs on each side:

• Storefront: a wishlist click throws a TypeError, order tracking rejects unhandled, and several API calls fail with 404, 500 or 502.
• API: a bogus coupon kills checkout, an absent book kills its page, sold-out orders throw a handled error, the price call gets a 503, and the recommendations promise rejects uncaught.
• Reporting task: runs fail now and then.

alice and bob shop through headless Chromium, and carol sends requests straight to the API.

The releases

1.2.0 asks the most of a tool. A good one shows the slower checkout and the new failure together.

SDKs and test limitations

• Separate runs: the Honeybadger test happened on October 23, five days before PostHog's, using one traffic script for both. Don't compare counts across them.
• Honeybadger's environments: my storefront reports "production" and the API "development", and some Honeybadger settings act per environment.
• Untested: Honeybadger's uptime monitors, check-ins, status pages and its Copy for LLM button, and alert delivery in both tools.

Terms in each tool

Setup and onboarding

Both tools install from npm on each tier. Honeybadger needed less changed before data flowed.

PostHog: Error tracking is an add-on in its own onboarding

PostHog starts with a goal, then preselects products. "Find and fix issues" ticked product analytics, web analytics and session replay, and left Error Tracking unticked:

After adding it, the install page pushes an AI wizard that doesn't list Express, so I used the manual Node.js page. Express apps need setupExpressErrorHandler, or caught route errors never arrive. Three defaults then needed changing: headless browsers were filtered until I set opt_out_useragent_filter, replay was off at the project level, and my posthog-node was too old for the adapter.

Honeybadger: One package, one key

Honeybadger ships one package with server and browser builds, and both use the same project key. The server side is two Express handlers plus a configure call:

import Honeybadger from '@honeybadger-io/js';

Honeybadger.configure({
  apiKey: process.env.HONEYBADGER_API_KEY,
  revision: '<your_release>',
  enableUnhandledRejection: true,
  insights: { enabled: true, console: true },
});

app.use(Honeybadger.requestHandler);
// ...your routes...
app.use(Honeybadger.errorHandler);

Honeybadger doesn't report from the "development" environment by default, and its setup page says so. The highlighted reportData overrides that. One side effect: the request handler forwards an unhandled rejection into Express after the response has gone, which made my final error handler complain with ERR_HTTP_HEADERS_SENT. Nothing crashed, and Honeybadger still received the rejection.

Worth turning on: in PostHog, flip on recordings and network capture under project settings before customers arrive. In Honeybadger, set revision on both builds and report each deploy per environment, because resolve on deploy and the deploy link on each error depend on it.

Setup comparison

Verdict: Honeybadger. One package and one key covered the app, with a single documented default to change. PostHog fits teams who also want analytics and replay from the same install, and Honeybadger fits teams who want errors running in minutes.

Error capture

Both tools put the storefront and the API in one list. The question is what each missed and how each described a row.

PostHog: Severity and assignee, one gap

The issues list mixes both tiers, with occurrences, sessions, users, status, severity and assignee on each row:

Some rows came with a severity already set. The recommendations rejection never showed up, since the app installs its own rejection listener, and PostHog's Node SDK only adds one under non-default Node flags. Anonymous requests also counted as a new user each, inflating the Users column.

Honeybadger: Everything, in eight groups

Honeybadger listed 85 notices in eight groups after the first hour:

The recommendations rejection is there, as is the report job. Each row has an environment, a one-hour sparkline, an assignee picker and a resolve toggle. All four kinds of failed API call in the browser, from the 404 to the 502, share one ApiError group, a choice I'll come back to under grouping.

Error capture comparison

Verdict: Honeybadger. It caught every failure I planted. PostHog's severity column helps triage, but missing an unhandled rejection matters more for a Node.js API.

Source maps

Neither tool could fetch maps from my private host, so both needed uploads.

PostHog: Two steps, two issues

posthog-cli injects IDs into the bundle and then uploads. The mapped wishlist crash pointed at src/pages.js line 122, but its earlier minified events stayed in a separate issue:

The release attached to the maps was my git commit, because the inject step takes it from git unless you pass the release flags there too.

Honeybadger: An API call per revision

Honeybadger accepts maps at its source map API with the project key, even on the trial. The browser error then showed source lines:

src/api.js:29:28 is the throw, with lines 27 to 31 shown and the call site in pages.js underneath. A JavaScript Stack Trace tab sits beside it.

Source map comparison

Verdict: Honeybadger. Maps landed on the revision I chose, and each bug kept a single row. PostHog's advantage, showing server code, comes up next.

Debugging an error

The coupon crash starts with a click in the browser and ends in the API.

PostHog: Code, trace and request logs

The server issue shows the failing code, read from the server's disk:

Line 150 is marked, with the deliberate bug in view. View trace opens the request's spans, my database span included, and its Logs tab narrows to that request's lines. The event had no request body, and the trace stops at the server, so the browser side links back by session ID.

Honeybadger: The request, the user and the deploy

Honeybadger's error page leads with where and when it happened:

The marked line names the environment and host and ends with the deploy it followed, 1.0.0. Scrolling down, the context and params hold what PostHog didn't keep:

The params show the posted body with the bad coupon, and the context names carol with an Email user button. Request-scoped breadcrumbs follow, "checkout started" then "book found". The backend frame shows server.js:150:45 with no code. Like PostHog, nothing connects the browser's failed checkout to this crash.

Debugging comparison

Verdict: PostHog. Code, trace and request logs explained the crash from one page. Honeybadger's params and deploy link are the details PostHog lacked. PostHog fits teams working across the stack, and Honeybadger fits teams who debug from the request payload.

PostHog's trace began at the API, and Honeybadger had no trace to follow. Better Stack recorded one storefront request through both tiers in my test:

Thirty browser spans and seven API spans line up in a single trace. The shopper's action and the code that failed are on one screen.

See a request across browser and server

Session replay

PostHog records visits. Honeybadger doesn't, so this section covers PostHog alone.

PostHog: The click before the crash

With recording on, the Recording tab on the wishlist issue starts playback right as it fails:

You can see the pointer over the wishlist button and the shopper's signed-in name. Console and network timings were captured by default, and page text was readable at the default privacy level.

Honeybadger: Breadcrumbs in their place

Honeybadger's browser breadcrumbs are the nearest thing: clicks with selectors, page changes and every fetch, recorded automatically:

The trail tells you what happened in order, without showing the page.

Worth turning on: in PostHog, mask sensitive elements or raise the privacy level before recording real users.

Replay comparison

Verdict: PostHog only. If watching the session is how you reproduce bugs, Honeybadger has no equivalent. Its breadcrumbs cover the order of events.

Error grouping

Both tools grouped 1.0.0 into sensible rows. 1.2.0 separated them.

PostHog: Split by hidden Node frames

PostHog ignores message text, which is good, but counts Node's internal frames even when it hides them. The 1.2.0 payment error became two issues:

Both throw from server.js:173, and one adds two node:internal timer frames behind "Show 2 vendor frames". Because the slow query altered those frames, older bugs like the coupon crash also sprouted extra issues in 1.2.0. Grouping rules and manual merging are the fixes.

Honeybadger: Class and location

Honeybadger's rule is simpler: the exception's class plus the first stack line. The 1.2.0 payment error stayed in one group across every amount:

Seven notices from server.js:173:15 share the row, and old bugs reopened in their original groups with no duplicates. The same rule cuts the other way in the browser: every failed API call threw from one helper line, so a 404 on order tracking and a 500 on checkout share one ApiError group, titled after the latest message.

Grouping comparison

Verdict: Honeybadger. On the server, its rule kept every bug in one row through a release that changed the timing. Its browser ApiError group merges too much, so give API failures distinct classes or fingerprints if you use it.

Releases and regressions

In each tool I resolved the coupon crash and then sent it more traffic, unchanged, on 1.1.0.

PostHog: Reopened, counted by version

PostHog's Resolve takes no version. New events on 1.1.0 set the issue back to Active with no regression label, and the Breakdown panel split its events by version:

44 events came from 1.0.0 and 20 from 1.1.0. Resolving also offered to email the two signed-in shoppers who'd hit the bug. Releases came from source map uploads and were named after git commits until I passed the flags at inject.

Honeybadger: Reopened, linked to the deploy

Honeybadger resolves with a toggle, promising "We'll alert you if this error happens again". Two minutes of traffic later, it was Unresolved again:

The page says "after deploy 1.1.0", so the deploy is right there. The list row carries no reopened label, and the History tab doesn't record the reopen either:

It lists the resolve, the first occurrence and the earlier deploy, then nothing about the bug coming back.

Resolve errors on deploy

For 1.2.0, I turned on the project setting Resolve errors on deploy. The API's deploy cleared every backend error at once:

Only the two browser errors stayed, because they report "production" and the deploy was for "development". One release needed two deploy calls. After traffic, every old bug that recurred came back as Unresolved, and the new payment error appeared beside them.

Release comparison

Verdict: Honeybadger, narrowly. It tied each error to a deploy and offers a clean slate per release. PostHog's Breakdown answered "which version" better, and neither tool flagged the reopen where you'd notice it.

PostHog and Honeybadger both reopened the coupon bug without any mark in the list, and Honeybadger left it out of the history too. Better Stack labeled the row when 1.1.0 shipped:

The red "Reoccurred" tag sits on that row alone. You spot the regression from the list, the place you already look first.

Catch the bug that came back

Performance monitoring

1.2.0's slow query is the test. PostHog traces requests, and Honeybadger doesn't.

PostHog: The slow span by version

Tracing → Operations, filtered to 1.2.0, put the slow span near the top:

Checkout's p95 sat at 4.76 s on 1.2.0, against 4.21 ms on 1.1.0, and the book query alone reached 2.93 s. Any service sending OpenTelemetry gets this version filter.

Honeybadger: Clues in breadcrumbs

Honeybadger has no request timing of its own. The payment error's breadcrumbs carried relative times, and they hinted at the problem:

Between the checkout start and the book lookup, the offsets leave about 2.4 s unaccounted for, which is where the query sat. The same trail held a stray notice from 51 seconds earlier, so request isolation wasn't perfect. Insights with http: true didn't give me request durations I could find.

Performance comparison

Verdict: PostHog. It measured the regression directly. Honeybadger left me inferring it from breadcrumb gaps and my own logs.

PostHog needed the OpenTelemetry SDK wired in by hand, and Honeybadger had no timing beyond breadcrumbs. Better Stack's spans for the same 1.2.0 checkout:

Out of 2.19 s, 1.53 s went to the book lookup span and 660 ms to the rejected charge. Both of the release's problems are measured in the one trace.

Collect traces with less wiring

Logs and querying

Both tools store logs and events and let you query them. Each found the slow query, by a different route.

PostHog: Logs joined to traces

PostHog's logs product received the app's OpenTelemetry logs, with level, service and host facets, patterns and live tail:

Every trace carries its own lines, so a slow request leads straight to its warnings. SQL works across PostHog's event data.

Honeybadger: Insights and BadgerQL

Insights collects logs, error notices, console output and custom events in one stream. A BadgerQL query over warnings by revision found the release's two problems:

filter level::str == "warn" | stats count() as count by message::str, revision::str

The result tied them to 1.2.0:

"slow query: SELECT book for checkout" appears 44 times and the gateway retry warning 36 times, both on 1.2.0. That worked because my app logs those warnings. Custom metrics like checkout revenue came back from the same language, and with console capture on, each of my log lines arrived twice.

Logs and querying comparison

Verdict: Tie. PostHog joins logs to the request that wrote them. Honeybadger's BadgerQL sliced warnings by revision in one query and keeps logs, metrics and errors together.

Alerts and uptime

Neither tool delivered an alert during my test, and I didn't try Honeybadger's uptime monitors.

PostHog: Rules waiting for a destination

Until a destination such as Slack or PagerDuty is connected, PostHog nags with a banner over the issues list. Once connected, it can alert on fresh, reopened or surging issues. It has no uptime monitoring.

Honeybadger: Alerts on reopen, plus uptime and check-ins

Resolving in Honeybadger promises an alert if the error returns, and unresolved errors stay quiet until resolved. Every plan includes uptime monitors, cron check-ins and a status page, which suits a background job like my sales report.

Alerts and uptime comparison

Verdict: Not compared. No alert arrived from either. On paper, Honeybadger covers uptime and scheduled jobs, which PostHog doesn't.

AI-assisted debugging

PostHog AI sits inside the product. Honeybadger has no assistant and offers Copy for LLM on each error, which I didn't try, so this covers PostHog.

PostHog: Sound on mechanism, loose on facts

Asked about the coupon crash, the assistant got the bug's mechanism right and then listed coupon codes that don't exist in my app:

For the 1.2.0 payment failures, it wrongly credited the duplicate issues to differing amounts, filled in code it had never seen, and didn't connect the failures to the release or the slow query. The Open Fix prompt menu can also hand the issue to Claude Code, Cursor or Codex.

Honeybadger: Copy for your own assistant

Copy for LLM puts an error's details on the clipboard for whatever assistant you use. The quality depends on that assistant and on what code it can see.

AI comparison

Verdict: Not compared. PostHog AI was fast and guessed where it lacked code. Honeybadger leaves AI to your own tools.

PostHog AI invented details, and Honeybadger hands the job to your clipboard. Better Stack's AI SRE worked through the 1.2.0 release in my test:

It found the slow checkout query and that 10 of 48 charges failed, all on 1.2.0. About four minutes and $0.49 got both problems sized from traces and logs.

Ask AI SRE about a release

Pricing

PostHog bills each product past a monthly free tier. Honeybadger sells flat plans that bundle errors, Insights, uptime and status pages.

I read both pricing pages on November 12, 2026. PostHog's per-unit exception rate is from my October 28 reading, since its page now points to a calculator. Prices change, so check before you buy.

Free plans and trials

Entry-level paid plans

What costs extra

Comparing the actual cost

For a small app, PostHog's free tier holds 20 times Honeybadger's free errors and adds replay, logs and tracing, with no user limit. Honeybadger's free plan is a one-person plan with 15 days of history.

Once you pay, Honeybadger's Team plan is $26 a month for 50,000 errors and unlimited users, with uptime and status pages included and a bill that won't move. PostHog stays free longer, then grows with each product you use, so set spending caps. Our PostHog vs TrackJS comparison covers PostHog's bill against a flat page-view price.

Verdict: PostHog. It's free for longer and covers more. Honeybadger's Team plan is the better deal if you want a fixed bill with uptime included.

Full feature comparison

Which should you choose?

PostHog is the wider platform, and Honeybadger is the tighter error tracker. Your choice turns on how much of the stack you want in one bill.

Choose PostHog if you want analytics and observability in one place

• You debug across tiers. One issue page held the failing server code, a trace, request logs and a recording.
• You care about speed by release. Percentiles by version found the slow query directly.
• You'd like a large free tier. Errors, replay, logs and tracing are free at small-app volumes.

The trade-offs: grouping that splits on hidden Node frames, releases tied to git unless configured, a missed rejection in my setup, and an AI that guesses. Our Sentry vs PostHog comparison puts it against a tracker with stronger release tools.

Choose Honeybadger if you want error tracking that stays out of your way

• You want it running fast. One package and one key covered both tiers.
• You care about clean groups on the server. Class and location kept every backend bug in one row through 1.2.0.
• You want uptime and cron checks in the same plan. They're included, with status pages.

The trade-offs: no tracing or replay, no server source lines, an over-merged browser ApiError group, and no record of reopens in the history. Our Sentry vs Honeybadger comparison shows it next to a tool with tracing, and our Raygun vs Honeybadger comparison next to another independent tracker.

FAQ

Does Honeybadger have session replay?

No. Honeybadger records automatic breadcrumbs in the browser, including clicks, navigation and fetch calls, without video. PostHog records the session itself.

Why didn't Honeybadger report my errors in development?

Honeybadger skips the "development" environment by default. Set reportData: true in Honeybadger.configure to report from it.

Can either tool resolve an error in a specific version?

Neither has a "resolve in version" option. Honeybadger can resolve every error on each deploy, per environment, and both reopen an error on its next occurrence.

Which is cheaper?

PostHog for a small app, since its free tier covers 100,000 exceptions and adds replay, logs and tracing. Honeybadger's Team plan at $26 a month is cheaper if you need many users and want a fixed bill.

Final thoughts

My bad release split these two cleanly. PostHog measured the slow checkout and broke the new payment bug into pieces. Honeybadger kept the payment bug whole, tied it to its deploy, and needed my own warning logs to show the slowdown.

That's the decision in front of you. Pick PostHog if you'd rather measure everything and tune the grouping later. Pick Honeybadger if you'd rather have an accurate error list today and add tracing from somewhere else.

Either way, log your slow paths as warnings, because in my test that was the one signal both tools could search.

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