TrackJS vs Rollbar: A Hands-On Error Tracking Comparison for 2026

A failed checkout in my test app produced two errors: a 500 in the browser and the coupon crash on the server that caused it. TrackJS joined them with one link on the failing request. Rollbar received both into the same project and gave me no way to walk from one to the other.

Then I marked that coupon bug fixed and shipped it again. Rollbar reopened it and named the version and the deploy it suspected. TrackJS kept calling it Fixed while the count climbed.

Those two moments sum up the comparison. TrackJS watches the browser first, adding a small server agent, a step-by-step record of each visit and an AI that reads every error. Its bill follows page views.

Rollbar is built around the life of an error. It ties occurrences to versions and deploys, records browser sessions, and sells AI root cause analysis on credits. Neither tool has tracing, logs or performance monitoring.

I tested both against the same deliberately broken bookstore in late October 2026. The sections ahead cover installing each one, what they catch, how they help you debug, linking front end to back end, grouping, replay, regressions, speed, logs, alerting, AI and cost.

TrackJS vs Rollbar: Results at a glance

These calls come from my own Express and Vite setup, with everything running on localhost. Public source maps, a connected GitHub repository for Rollbar or live alert channels could change a few.

How I tested TrackJS and Rollbar

The test app is a bookstore designed to go wrong. An Express API sits on SQLite, a Vite storefront switches pages by URL hash, a stand-in price service answers on the side, and a recurring job writes a sales report. Scripted shoppers in headless Chromium drove both tools through the same faults in the same code.

The faults:

• In the browser: a wishlist click that reads a null object, and API failures the storefront reports as ApiError.
• On the server: a crash on unrecognized coupons, a crash on nonexistent books, and orders for books that have run out.
• Upstream: a price service that intermittently returns 503.
• Async: a promise in the recommendations code that nobody catches, and a failing report task.
• Held back for 1.2.0: a lookup that drags checkout down, plus a card-charge bug.

The three versions

The faulty version tested whether a tool could explain a bad release, beyond flagging its new error.

SDKs and test limitations

• Same scope: both are error trackers without tracing, logs or performance products, so I held neither to account for those gaps.
• Separate traffic: counts come from each tool's own runs and don't compare one to one.
• Source maps on localhost: TrackJS can fetch maps only from public URLs, so it ran in manual mode. Rollbar took uploaded maps.
• Older Rollbar images: four shots of Rollbar's item page are from a previous pass over this app, which is why their line numbers don't match.
• No alert channels or repository: neither had a notifier connected, and Rollbar's AI didn't run without GitHub.

Terms in each tool

Setup and onboarding

Both tools put the browser and the server in one place: one TrackJS application, one Rollbar project. Each one's setup had a flaw, and TrackJS's affected the app itself.

TrackJS: A quick agent and a handler that hangs

The browser agent installs with a script tag or npm:

Onboarding steps through Agent, Applications, Team and Ignore. The server agent is where things broke. Its Express handler in version 1.3.0 throws away any options, reports a 5xx and then stops, so the request never gets an answer. My adapter forwards the error itself:

const trackjsHandler = TrackJS.Handlers.expressErrorHandler();

app.use((err, req, res, next) => {
  let forwarded = false;
  trackjsHandler(err, req, res, () => {
    forwarded = true;
    next(err);
  });
  if (!forwarded) next(err); // 1.3.0 never calls next() after a 5xx
});

Before that line, every failed checkout in my traffic timed out with no response.

Rollbar: Four steps, and tokens that didn't work

Rollbar's setup page shows one SDK at a time:

You switch with Select different SDK for the browser snippet. The server side is one constructor with captureUnhandledRejections and autoInstrument for telemetry, plus rollbar.errorHandler() as the last middleware.

My fresh project's setup snippets carried tokens belonging to an old, deleted project, so nothing I sent got through. Data only started flowing after I generated new server and client tokens in the project's settings.

Worth turning on in TrackJS: if you use trackjs-node with Express, wrap the error handler so the error always reaches next(), then test that a failing route still responds.

Setup comparison

Verdict: Rollbar, narrowly. Its token problem stopped data until I noticed. TrackJS's handler broke the app's own error responses, which is the worse trap to find in production.

Error capture

Both hook unhandled errors in Node.js and the browser. Both caught everything, and they differ in what they add.

TrackJS: Everything, with extras

TrackJS's list held 99 errors in 29 groups after a clean run:

Every planted failure is there, the unhandled rejection included. TrackJS also files each failed fetch as a Network Error beside the app's own report, and turns console.error lines into errors by default. Both add rows you may want to switch off.

Rollbar: Everything, with less detail on one

Rollbar logged 11 items on the first pass, split between the API and the storefront:

The rejection arrived, but thinly:

It came in at Debug level, with a single frame and nothing about the request or user. There's also no badge separating handled from unhandled errors, only the level.

Capture comparison

Verdict: Tie. Neither missed a planted failure. TrackJS reports more by default, which helps a front-end team and clutters the list for everyone else.

Debugging an error

The test of an error page is how fast it gets you from the crash to the line that caused it. Here, saved source maps and recordings made the difference.

TrackJS: A timeline worth reading

Every TrackJS browser error carries a telemetry timeline:

It lists clicks with the element's HTML, hash navigations, fetches with status and duration, and console lines, in order. Errors on Page jumps between every error from the same load, and Time On Page gives the visitor's session length.

Source maps are where it falls short off a public host. TrackJS couldn't fetch my localhost scripts, and a map dropped on the stack trace applied only until I reloaded:

On server errors, TrackJS shows the file and line with no code and no request body. The timeline mixes this request's steps with console lines from earlier.

Rollbar: Recordings, request replays and value counts

Open a Rollbar browser error and you get mapped frames, with the visitor's session underneath:

The Session replay & telemetry panel plays the visit, with each network call and click in its event list:

On the server, Rollbar has two tools I didn't find in TrackJS. A Typicality column says how common each value is across occurrences:

Seeing bookId at 74% tells you it's part of the pattern. Separately, Replay CURL gives you a terminal command that fires the same request again:

Its server telemetry has the same weakness as TrackJS's, holding console lines and calls from other requests.

Debugging comparison

Verdict: Rollbar. Saved source maps and a replay on every browser error beat a timeline you read alone. TrackJS's timeline is still the clearest text record of a visit, and it shows Time On Page, which Rollbar doesn't.

From the browser to the server

A failed request in the browser usually has a cause on the server. Only one of these tools connects the two.

TrackJS: A correlation link on every fetch

Every network call in a TrackJS timeline carries a jump to whatever the server reported for it:

A shared ID travels from the server agent to the browser agent in a response header. Following it from the broken checkout took me to the coupon crash:

The link appears on every fetch, including successful ones, so a few clicks end on an empty page.

Rollbar: Links between browser items only

Inside a Rollbar recording, events point to other browser items from that visit:

They never reach the server. A browser ApiError and the server crash behind it stay separate items, and the Related tab only matches similar titles.

Browser-to-server comparison

Verdict: TrackJS. It turned a failed fetch into its server cause in one click. In Rollbar, you match the two items by time.

Rollbar keeps browser and server items apart, and TrackJS's link lands on a server error without any timing for the work behind it. Better Stack showed one storefront visit from my test as a single view spanning browser and server:

The 30 frontend spans sit directly above the 7 backend spans they triggered. You see where the time went on both sides of the request, with no matching by timestamp.

Trace a visit across browser and API

Error grouping

Grouping keeps one bug in one row as traffic changes. TrackJS keys on the message. Rollbar keys on the stack, including framework frames below your code. Each split bugs in my test, under different conditions:

TrackJS held the coupon error together because its message never changed. Rollbar held the out-of-stock and payment errors closer because their stacks mostly didn't.

TrackJS: A new group for each value

Values in a message become separate groups:

Different books and quantities gave the stock error separate rows, and so did each set of IDs in the tracking call. The bad release did the same to payments:

Every row holds a single event, so no row ever grows big enough to look like a trend.

Rollbar: Splits when timing changes

On the first release, Rollbar's items matched the bugs one for one. The slow query in 1.2.0 shifted the framework frames beneath each throw, and the fingerprints moved with them:

The payment error became two items, and the coupon error spread over three. The version page then counted five "new" items when only one bug was new:

Four of those five are old bugs wearing new item numbers.

Grouping comparison

Verdict: Mixed. TrackJS splits whenever a message carries a value, and Rollbar splits whenever timing changes the stack. Count your errors with variable messages, then pick the failure mode you'd rather fix with rules.

TrackJS split the payment bug by amount, and Rollbar split it by stack. Better Stack kept the bad release's 10 payment exceptions together in my test:

Changing amounts and changing timing made no difference, and the source around line 173 is on the page. One row grows as the bug spreads, and nobody writes rules first.

Keep one bug in one group

Session replay

Replay shows what one visitor did before an error. Rollbar records sessions in the browser. TrackJS doesn't, and leans on its timeline.

Rollbar: Every recording in one list

Rollbar's Replays page lists each session it kept:

You can see where each visit began, who it was, how long it lasted and why it was recorded. The free plan keeps 1,000 a month.

TrackJS: A timeline in place of a recording

TrackJS's telemetry covers the same events in text: clicks, navigations, fetches and console lines. There's no video and no page view outside an error.

Replay comparison

Verdict: Rollbar. Seeing the session beats reconstructing it from a list. If replay matters to you, TrackJS would need a second tool.

Release tracking and regressions

The hours after a deploy are when you most need to spot a bug you thought was gone. TrackJS treats fixed as a label. Rollbar treats it as a state tied to a version, with deploys to point at.

What can move an error between states shows the gap:

TrackJS's labels never change on their own. Rollbar reactivates a resolved item when it occurs in that version or a later one.

TrackJS: A label that stays put

TrackJS's status options are all labels:

Before 1.1.0 went out, I set the coupon error to Fixed. Events kept coming, the label didn't budge, and only its version chart showed the return:

The red 1.1.0 bar is easy to miss unless you open the group. On 1.2.0, the Versions page showed the fewest errors of any release:

Fewer checkouts got through, so fewer errors fired, and nothing on the page measured the slowdown.

Rollbar: Fixed in a version, with a deploy to blame

When you resolve in Rollbar, you can name the version that fixes it and leave a note:

When the bug returned in 1.1.0, the item said so:

"Reactivated version: 1.1.0" and "Suspected deploy" link to the release and the deploy. Each version also has a page with a Reactivated tab:

A per-environment setting goes further and clears every item when a deploy is reported. My 1.2.0 deploy wiped six server items in one go, including bugs nobody had fixed, which then reactivated as they recurred.

The returning bug in both tools

Both tools' records of the coupon bug after 1.1.0, cut down to the evidence that it returned:

In TrackJS, the count at ① kept rising under the Fixed label at ②. Rollbar's ① gives the version where it reappeared, and ② is the deploy it suspects.

Worth turning on in TrackJS: make the version chart part of your release checklist for every group you've labelled Fixed.

Worth turning on in Rollbar: send a deploy call from CI for each environment, since suspected deploys only exist for deploys Rollbar knows about.

Release comparison

Verdict: Rollbar. It caught the return, named the version and pointed at a deploy. With TrackJS, a Fixed bug can come back for weeks before anyone opens its chart.

Performance monitoring

Neither tool measures request timing, so a release that only gets slower looks fine in both.

On 1.2.0, the only sign in TrackJS was one network entry in a failing checkout's timeline:

That request ran for 4,073 ms, where the first release finished checkouts in about 15 ms. Rollbar tied the new payment error to its deploy and showed nothing about the slowdown. Successful slow checkouts left no trace in either.

Verdict: Neither. Both need a separate APM to see a slow release.

Logs and events

Neither stores logs. TrackJS keeps console lines in each error's timeline, and on 1.2.0 that included my app's own [warn] slow query line, 1.52 s before the payment error. Rollbar keeps console lines as telemetry and adds RQL, a SQL-like language over occurrences:

RQL counts and slices errors, with templates and CSV export. It can't search log lines that never became errors.

Verdict: Neither. RQL is useful for errors, and both still need a log store.

Neither tool saw the slowdown, and the slow-query warning survived only as one console line inside one TrackJS error. When that checkout failed in my Better Stack test, its error opened Live tail scoped to the one request:

The failure and the slow-query warning from the same request sit together. The cause is a click from the error, in logs you can search later.

Search the logs around every error

Alerts

TrackJS can notify you about never-seen messages, trending errors and rising error rates, by email, Slack or Teams, with summaries by default. A returning Fixed error triggers none of them. Rollbar ships with 11 email rules out of the box, and one of them covers reactivated items. It also integrates with Slack, PagerDuty and Jira.

Verdict: Not compared. I connected no channel to either. On paper, Rollbar's default reactivation rule covers the case TrackJS's alerts miss.

AI-assisted debugging

TrackJS runs an AI Debugger on every error. Rollbar sells root cause analysis on AI credits, which asked for a GitHub connection before running. Only TrackJS's ran, so this isn't a head-to-head.

TrackJS: A careful first read

Opening the AI Debugger sends sanitized error data to OpenAI, and you can turn that off. On the 1.2.0 payment error, it answered in about 20 seconds:

It pinned the throw to line 173 of the server on the new release and excluded the usual suspects, a declined card or a coupon. Without source code, it couldn't spot the counter that rejects every fifth payment. Its fixes then kept the slow book lookup separate from the payment problem:

On the wishlist and coupon errors, it offered hedged hypotheses and said plainly when it lacked the source to decide.

Rollbar: Root cause analysis, not run

Each Rollbar item has Analyze root cause and a Root cause & fix tab. On my trial, it wanted GitHub connected first. According to Rollbar's documentation, a beta feature can go on to draft a fix as a pull request.

AI comparison

Verdict: Not compared. TrackJS's AI was careful and useful from error data alone. Rollbar's needs your repository, and I didn't connect one.

TrackJS's AI read one error at a time, and Rollbar's wouldn't start without my repository. Better Stack's AI SRE took the whole-release question from me, comparing 1.2.0 with 1.1.0, with no code connected:

It picked out the one slow query, ruled out the database host, then tied 10 failed charges out of 48 to 1.2.0 alone. It needed about four minutes and $0.49, much slower than TrackJS's 20 seconds, and it covered the slowdown neither tool could see.

Put AI SRE on your next release

Pricing

TrackJS bills by page view and keeps a set number of errors per minute, so errors never raise the bill. Rollbar bills by occurrences and replays on volume sliders, with AI credits from its first paid tier.

TrackJS's figures come from its pricing page on November 6, 2026, and Rollbar's from its page on November 5, 2026. Rollbar's paid prices didn't show in the page text that day, so they're from my October 23 reading. Confirm both before buying.

Free plans and trials

Entry-level paid plans

What costs extra

Comparing the actual cost

Rollbar is cheaper to start by a wide margin. Its free tier covers 5,000 occurrences and 1,000 replays, and Essentials starts at $9 a month with 90-day retention, against TrackJS Starter's $45 a month yearly with 10.

TrackJS's model suits a busy front end that throws a lot. A bad release can fire thousands of errors without moving the bill, because the bill tracks traffic, and Starter simply stops storing errors past 20 a minute. Rollbar's bill grows with occurrences unless you cap it. Our Sentry vs Rollbar comparison shows what Rollbar's pricing looks like against a tracker that includes tracing.

Verdict: Rollbar. It's cheaper for most small teams and includes replay. TrackJS is the more predictable bill when error volume is high and unpredictable.

Full feature comparison

Which should you choose?

Pick the tool whose gap you can fill more easily: a missing link from browser to server, or missing release tracking.

Choose TrackJS if you debug from the browser

Every planted failure showed up in TrackJS, broken requests led straight to their server crashes, and each error came with the visit's full sequence. Its AI Debugger gave a sensible first read without seeing code, and its page-view pricing stays flat when errors spike.

It needs work around it. The Express handler needs a wrapper, Fixed means nothing if a bug returns, and message grouping splits bugs by their values. For TrackJS against a replay-first tool, see our LogRocket vs TrackJS comparison.

Choose Rollbar if you manage errors release by release

Rollbar reopened the returning bug, named its version and pointed at a deploy. It saves source maps, plays the session behind browser errors and gives server errors a curl command, all from $9 a month.

It can't join browser and server errors, and its default grouping split bugs once timing changed. Plan on custom fingerprints. For Rollbar against a tool with tracing and RUM, read our Rollbar vs Raygun comparison.

FAQ

Does Rollbar link browser errors to server errors?

No. Rollbar keeps both in one project, but a browser error and the server error behind it stay separate items. TrackJS links them through a correlation header.

Does TrackJS reopen a fixed error?

No. TrackJS statuses are labels, so an error marked Fixed keeps that label when it returns. Its version chart shows the new release in red.

Which has session replay?

Rollbar, with 1,000 replays a month on its free plan. TrackJS has a text timeline of each visit, without a recording.

Which is cheaper?

Rollbar, with a free tier and paid plans from $9 a month. TrackJS starts at $45 a month on yearly billing, but doesn't charge for errors.

Final thoughts

The trade-off is direction. TrackJS reads a failure across the request, from the click to the server crash. Rollbar reads it across time, from the release where it started to the deploy that brought it back.

I'd rather have Rollbar's memory than TrackJS's reach on most teams, because a bug that returns unnoticed costs more than a minute spent matching two errors. If nobody on your team opens version charts,*don't trust TrackJS's Fixed label.

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