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

When my test app's faulty release went out, both tools noticed, and each one saw a different half of the damage. Rollbar pinned the new payment error to "Suspected deploy: 45860037" within minutes, yet nothing in it hinted that checkout had become about two thousand times slower. AppSignal timed that slowdown at 4.59 s a request and traced it to a database query, while the new error sat fourth in its list with no "new" badge.

That split runs through the whole comparison. One tool is built around requests and how long they take. The other is built around errors and where they came from.

AppSignal is an application performance monitor with error tracking inside it, sharing one app with traces, a slow-query ranking, logs, host metrics and heartbeat monitors. You pay by request volume.

Rollbar is the error specialist of the two. It groups occurrences into items, ties them to versions and deploys, records browser sessions, and adds AI root cause analysis paid for with credits. It has no tracing, logs or performance product.

I put both through the same broken Node.js bookstore in late October 2026. This comparison covers setup, capturing errors, debugging, grouping, replay and browser monitoring, regressions, request performance, logs, alerting, AI and price.

AppSignal vs Rollbar: Results at a glance

My verdicts come from an ES module Express app with a Vite front end. A CommonJS codebase, a GitHub connection for Rollbar's AI or live notification channels might shift a verdict or two.

How I tested AppSignal and Rollbar

The test bed is an online bookshop that fails on purpose. Behind it sit an Express service backed by SQLite, a hash-routed Vite storefront, a stand-in price API and a recurring report task. Scripted shoppers in headless Chromium drove it, and the two tools got the same faults from the same build.

The faults I built in:

• Storefront: a wishlist handler that reads from null, and API failures that the page reports on its own.
• API: a coupon lookup that breaks on unknown codes, a missing-book lookup, and an out-of-stock order.
• Dependency: a price API that now and then returns 503.
• Async: a recommendations call that rejects with nothing listening, plus a report task that throws.
• Saved for later: a slow database query and a payment bug, both enabled only in the final version.

What each version tested

Version 1.2.0 decided most sections. It hid a slowdown and a fresh error inside one request, which is what a real bad deploy tends to look like.

SDKs and test limitations

• Traffic: each tool got its own runs, so counts are only comparable roughly.
• Older screenshots: four Rollbar shots of its error page come from an earlier run of the same app, so their line numbers differ.
• Linux metrics: AppSignal reports host metrics on Linux only, so I repeated 1.2.0 on an Ubuntu server.
• My adapters: I fixed my AppSignal adapter after its first run, so custom spans and handled errors stayed with their request. Both SDKs handled unhandled rejections with their defaults.
• No notifications or GitHub: no channel was connected to either tool, and Rollbar's AI didn't run without a repository.

Terms in each tool

Setup and onboarding

AppSignal installs a native agent through a wizard tailored to your language and framework. Rollbar uses one npm package for both server and browser, set up from a four-step page that promises five minutes. Each had a snag, and Rollbar's was the one that stopped data arriving.

AppSignal: The wizard covers CommonJS only

AppSignal begins by asking for your language, and labels what each one gets:

Node.js gets "Full APM", while browser JavaScript is "Errors only". Later steps cover the Express error handler and a config file:

That file is loaded with node --require, a CommonJS mechanism. My ES module app needed AppSignal's import hook registered by hand before Express traces appeared, a step the wizard leaves out.

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

Rollbar's onboarding picks one SDK at a time:

To get the browser snippet after the Node.js one, you click Select different SDK, even though one project takes both. The server setup comes down to one constructor:

rollbar = new Rollbar({
  accessToken: process.env.ROLLBAR_ACCESS_TOKEN,
  environment: config.environment,
  captureUncaught: true,
  captureUnhandledRejections: true,
  autoInstrument: { log: true, network: true },
  payload: {
    code_version: config.appVersion,
  },
});

The highlighted line is the one that later caught the rejection AppSignal missed. autoInstrument turns console output and outgoing calls into telemetry.

The snag was on a brand-new project. Its setup pages printed access tokens from a project I'd deleted, and none of them worked. The new project's token list was empty, so I created a post_server_item and a post_client_item token under Project access tokens before any data arrived.

Worth turning on in Rollbar: create fresh server and client tokens under Project access tokens for any new project, and don't trust the tokens printed in the setup snippets.

Setup comparison

Verdict: AppSignal, narrowly. Its gap is a missing ES module step. Rollbar's onboarding handed out tokens that couldn't send a single error, which is harder to diagnose. AppSignal suits a team that wants performance data from the first deploy, and Rollbar suits a team already comfortable creating tokens by hand.

Error capture

Both tools hook unhandled errors in Node.js and the browser. What separated them was the failure nobody reported on purpose.

AppSignal: One planted failure slipped through

AppSignal listed 11 issues after the first run:

The API crashes, upstream 503s, report task and wishlist crash are all here. A failed browser fetch also lands twice, once as the storefront's ApiError and again as the SDK's own HTTPError.

The unhandled rejection isn't in the list at all. AppSignal recorded its route as error-free, and the only evidence was a log line my code had written:

Without that log call, the recommendations failure would have left no mark.

Rollbar: All of it, front and back

Rollbar listed 11 items, six from the server and five from the browser:

Browser rows carry a replay icon, and each side shows its environment, so the browser reads "production" from the Vite build. The rejection arrived as its own item, but with less detail than a crash:

It has one stack frame, a Debug level and no request or person attached. Rollbar also shows no handled or unhandled badge, so a caught error and a crash look alike apart from their level.

Capture comparison

Verdict: Rollbar. It caught everything I planted, the rejection included. AppSignal let a silent failure pass as a healthy request, and that's the one failure your code is least likely to report for you.

Debugging an error

An error page should take you to the failing line and show what led up to it. Neither tool showed backend source in my app, so the comparison comes down to the context each adds.

AppSignal: Good browser trail, no server code

AppSignal marks my app's server frame with a warning icon and shows no code for it:

The hover text explains it:

AppSignal can't parse the file:// paths that ES modules put in stack traces, so backend errors stop at a file and line.

Browser errors fared better. Source maps took the wishlist crash back to src/pages.js, and the breadcrumbs show the steps before it:

The click row names the button and its coordinates, then the crash follows. On the server, there's no breadcrumb API, so my adapter's steps ended up as raw JSON under custom data.

Rollbar: A replay, a curl command and value frequencies

Rollbar's browser errors come with the session attached:

Source maps resolved the crash to pages.js:122:13, and the Session replay & telemetry panel plays the visit right on the item. Its event list shows each request, click and navigation:

Network calls carry status and timing, and clicks carry their CSS selectors.

Server errors are thinner. The stack shows the file and line with no code, and telemetry isn't scoped to the request:

Orders from other shoppers sit in the same timeline. On one payment error, the last 100 events mentioned three different users. Two other features make up for part of that. The params view adds a Typicality column:

It tells you how common each value is across occurrences, so a field at 74% is clearly part of the pattern. Rollbar also builds a command that re-sends the failing request:

Paste it into a terminal and the bug fires again.

Debugging comparison

Verdict: Rollbar. A replay on browser errors and a ready-made curl command on server errors cut real time out of reproducing a bug. Its server telemetry is noisy, though, so a busy API will bury the steps you care about.

Error grouping

Grouping decides whether a bug stays one row as traffic changes. AppSignal keys on the error class and the route. Rollbar's default fingerprint keys on the stack, including framework frames below your own code.

AppSignal: The same bug, the same issue

Once my adapter was fixed, each AppSignal issue mapped to one bug on one route:

The new payment error on 1.2.0 stayed a single issue, whatever amount each message held:

Every charge amount from that release lands in this one issue.

Rollbar: Fine on 1.0.0, split on 1.2.0

On the first release, Rollbar grouped each bug into one item. The bad release changed that:

The new payment error became two items, #13 and #14, thrown from the same line. The coupon error now spans three items, even though every occurrence fails on the same line. The slow query in 1.2.0 changed how much of the Express stack sat under each error, and the fingerprint changed with it.

The version page shows the cost:

Its New tab lists five items, and only one of them is a new bug. Custom fingerprinting in project settings or a manual Merge would fix it.

Grouping comparison

Verdict: AppSignal. It kept every bug in one place across all three releases. Rollbar's grouping held until timing changed, which is exactly when you most need a clean list. Rollbar suits teams willing to write fingerprint rules once.

Rollbar's fingerprint turned one payment bug into two items and the old coupon bug into three, and AppSignal kept the bug whole but showed no backend code. Better Stack got the same 1.2.0 traffic in my test and held all 10 payment exceptions in a single group, source code included:

The amounts differ in every message, the group stays single, and the code around server.js:173 sits on the error page. That's the clean list and the code view together, with no fingerprint rules to write.

Keep each bug in one group

Session replay and browser monitoring

Replay shows what one visitor did before an error, and browser monitoring measures pages for everyone. Rollbar does the first, and AppSignal does a little of the second.

AppSignal: Web vitals you chart yourself

AppSignal's Browser SDK sends Core Web Vitals as metrics, with no page of their own. You pick them in a dashboard chart:

Each one carries page and version tags, so you can compare a page's load time across versions. There's no session recording.

Rollbar: Replays on every browser error

Rollbar records sessions in the browser and lists every recording:

Each row has the starting page, browser, person, duration and the trigger that kept it. The replay events can link to other items from the same visit:

That link only covers browser items. A browser error never leads to the server error behind it, because Rollbar has no tracing.

Replay comparison

Verdict: Rollbar. Watching the session behind a browser error beats reading its breadcrumbs. AppSignal's web vitals matter if page speed is your concern, but you'll be building the charts.

Release tracking and regressions

After a deploy, you want to know what's new and which fixed bug came back. AppSignal reads the release from your config. Rollbar reads a version from each error and a deploy from an API call, then uses both to explain reopened and new errors.

The rules that move an error between states differ:

In AppSignal, a closed error comes back only if it would trigger an alert. Rollbar reactivates a resolved item when it happens again in the version you resolved it in or later, and names the deploy it suspects.

AppSignal: Releases from config, a filter per revision

A changed revision value is all AppSignal needs to record a deploy. The Deploys page then sets each release's error rate side by side:

The release with my returning bug logged 876.4 errors an hour against 273.33 before it. The error list's Most recent revisions filter narrows things to the latest release:

An old error showing 5 of 30 is active again. A closed error reopens through its alerting setting, though, and AppSignal's Logbook didn't record that reopen.

Rollbar: Resolved in a version, reactivated with a suspect

Rollbar's Resolve button takes a version and a comment:

Resolving in 1.1.0 means older versions won't reopen it. Deploys arrive through the API:

curl https://api.rollbar.com/api/1/deploy \
  -F access_token=<your_rollbar_post_server_item_token> \
  -F environment=production \
  -F revision=<your_release_version>

When the bug came back in 1.1.0, the item said so at the top:

"Reactivated version: 1.1.0" and "Suspected deploy" link straight to the release and the deploy. Each version also gets its own page:

The Reactivated tab holds the coupon error, next to New, Still active and Resolved.

Auto-resolve on deploy

Rollbar's project settings can resolve every item when you report a deploy, per environment:

Once enabled, reporting the 1.2.0 deploy cleared every server item in one go:

That included bugs I'd never fixed, so treat it as a fresh start that relies on reactivation to catch what's still broken. Browser items stayed active, because they report a different environment.

The reopened error in both tools

Both error pages for the returning coupon bug, trimmed to the lines that show it's back:

AppSignal's ① shows Open again, and ② is the First in deploy alerting that triggered the reopen. In Rollbar, ① names the version it came back in and ② links to the deploy that likely caused it.

Worth turning on in AppSignal: before closing an error, check that its Alerting is set to First in deploy, since that setting is what brings a closed error back.

Worth turning on in Rollbar: report a deploy for every release and environment, then enable Auto-resolve on deploy, so the version page and suspected deploys have something to point at.

Release comparison

Verdict: Rollbar. It told me which version a bug came back in and which deploy to blame, and it gave every version a page. AppSignal's error-rate view is useful, but it can't say which release reopened an error.

Performance monitoring

Many bad deploys show up as latency before errors. AppSignal measures every request and keeps sampled traces. Rollbar has no performance product, so this section is about AppSignal and what you'd miss without it.

AppSignal: The slowdown per release

The checkout page's Performance in the last deploys table makes the bad release obvious:

Checkout averaged 2 ms on the first two releases and 4.59 s on 1.2.0. One slow trace from that release shows why:

The book query took 3.06 s and the card charge 3.3 s with a retry. The Slow queries page then ranked the culprit:

The book query's share of query time rose to 67.6%, from 22.02% before the release. One gap remains: a checkout that failed kept only its root span, so the payment error's own trace can't explain its 3.34 s.

Rollbar: No timing to look at

Rollbar tied the new payment error to the 1.2.0 deploy:

Nothing in Rollbar showed that checkouts now took three to five seconds. The slow-query warnings my app printed reached it only as console lines inside the process-wide telemetry.

Performance comparison

Verdict: AppSignal. It showed which release slowed down, by how much and because of which query. A Rollbar team would need a separate APM for any of that.

Rollbar never saw the slowdown, and AppSignal saw it but dropped the child spans on the checkout that failed. Better Stack received the same failing request in my test, and the payment error opened its full span list:

Of that request's 2.19 s, the book query used 1.53 s and the charge 660 ms, on the request that threw. The error and the reason it was slow share one screen.

See the spans behind each error

Logs and events

Logs keep the details that errors leave out. AppSignal has a logs product tied to its other data. Rollbar keeps console output as telemetry on each error and offers RQL, a query language over occurrences.

AppSignal: A log view built for incidents

Sending logs took one call to Appsignal.logger():

Lines have severity, host and group, and live tail streams them. Time Detective pulls one minute of errors, timings and logs onto one page:

During the worst minute of 1.2.0, checkout ran at 4.76 s on average beside a 1 ms book page.

Rollbar: Telemetry and queries over errors

Rollbar has no logs product. Console lines appear in each item's telemetry, and RQL answers questions about the errors themselves:

It's SQL-like, with strict GROUP BY rules, templates and a CSV download. It queries occurrences, so it can't search log lines your app never sent as errors.

Logs comparison

Verdict: AppSignal. It stores your logs and links them to the moment things broke. Rollbar's RQL is handy for slicing errors, but it doesn't replace a log store.

Rollbar keeps logs only as process-wide telemetry, and AppSignal ties them to an error only after you link logs and traces. In my Better Stack test, "View logs" on the failed checkout opened Live tail filtered to that request alone:

The error line appears with the slow-query warning from the same request beside it. You get the request's own logs, and nobody else's.

Filter logs to the failing request

Uptime, monitoring and alerts

Monitoring watches what happens between requests, and alerting decides who hears about it. AppSignal adds host metrics, triggers and heartbeats. Rollbar's strength is its notification rules.

AppSignal: Server and job monitoring worked

On my Ubuntu server, host metrics appeared with no configuration:

A heartbeat monitor caught the app stopping:

It went to Missed within about three minutes. The Slow actions trigger I'd set at one second never fired on 1.2.0, because it averages a whole namespace and fast requests kept it low.

Rollbar: Notification rules out of the box

Rollbar starts each project with 11 email rules, including new items, reactivated items, deploys and high occurrence rates. Slack, PagerDuty, Jira and more than ten other channels are a setting away. I connected none of them, so I can't say how the alerts read.

Monitoring comparison

Verdict: Not compared. I delivered no alert from either tool. AppSignal covers more of the server, and Rollbar's defaults cover more of the error lifecycle.

AI-assisted debugging

Rollbar sells AI root cause analysis, and AppSignal leaves AI to outside assistants. Since I ran neither one, treat what follows as a description of each offer.

AppSignal: No in-app AI

AppSignal's interface had no AI features during my test. According to its documentation, a beta MCP server exposes its data to coding assistants.

Rollbar: Root cause analysis that needs your code

Every Rollbar item offers Analyze root cause in its toolbar and a matching Root cause & fix tab. During the trial, it wanted GitHub connected first, and it draws on a monthly pool of AI credits. Rollbar's docs describe a further beta step that writes a fix and opens a pull request.

AI comparison

Verdict: Not compared. Rollbar's analysis needs your repository and AppSignal has none built in, so neither earned a verdict here.

Rollbar's analysis wouldn't start without a GitHub connection, and AppSignal has nothing built in. I gave Better Stack's AI SRE the 1.2.0 question with no repository connected, and it worked from releases, errors, spans and logs:

It isolated the one slow query and ruled out the database host, then treated the card failures as a second cause, at 10 of 48 charges on 1.2.0 only. The run needed about four minutes and $0.49, and it got both causes right without seeing any code.

Run AI SRE without connecting a repo

Pricing

AppSignal charges for request volume and doesn't bill overages. Rollbar charges for error occurrences and replays, sold on volume sliders, with AI credits from the first paid plan.

These figures come from AppSignal's pricing page on November 4, 2026 and Rollbar's on November 5, 2026. Rollbar's paid prices didn't appear in the page text that day, so its base prices are from my October 23 reading. Recheck both before buying.

Free plans and trials

Entry-level paid plans

What costs extra

Comparing the actual cost

Rollbar is the cheaper error tracker by a wide margin. Its Essentials plan starts at $9 a month, and its free tier includes replays that AppSignal doesn't sell at any price.

The gap closes once you count what Rollbar leaves out. To get the request timing, traces and logs that carried AppSignal through this test, a Rollbar team adds an APM and a log store, and each of those is another bill. Our Rollbar vs Raygun comparison shows one tool that pairs errors with performance.

Verdict: Rollbar. If error tracking and replay are what you're buying, it's the better price. AppSignal is the better buy once performance data is on your list, which on most backends it should be.

Full feature comparison

Which should you choose?

Decide whether your worst incidents start as errors or as slow requests.

Choose AppSignal if latency is what hurts you

AppSignal measured the bad release, traced it to the query behind it and ranked that query. It kept each bug in one issue across releases, and its logs, Time Detective, host metrics and heartbeats cover most of a small backend.

Its error handling has gaps. It missed the unhandled rejection, can't show backend code for ES modules, and says nothing about which release reopened an error. To weigh it against a broader error tracker, see our Sentry vs AppSignal comparison.

Choose Rollbar if your incidents start as errors

Rollbar caught every failure, played back the session behind browser errors and handed me a curl command for server ones. Its versions, suspected deploys and auto-resolve made it the best release tracker in this pairing, and its entry price is low.

It can't see performance, and its default grouping split bugs on the release where timing changed. Plan on custom fingerprints and a separate APM. For a matchup with a tool that adds tracing, see our Sentry vs Rollbar comparison.

FAQ

Does Rollbar have performance monitoring?

No. Rollbar tracks errors and browser sessions. It showed no request timing or traces when checkout slowed to several seconds in my test.

Does AppSignal have session replay?

No. AppSignal's Browser SDK sends errors, breadcrumbs and web vitals, but it doesn't record sessions.

Which tool tells you which deploy caused an error?

Rollbar. Reopened and new items show a "Suspected deploy" link once you report deploys through its API. AppSignal links errors to revisions, but it doesn't name a suspect.

Which is cheaper?

Rollbar, for error tracking alone, from $9 a month. AppSignal's first paid tier is about $23.25 a month on annual billing and includes performance monitoring and logs.

Final thoughts

The trade-off is visibility in opposite directions. Rollbar explains errors better than AppSignal does: where they came back, which deploy to suspect, what the user did. AppSignal explains the requests around those errors, which Rollbar can't see at all.

On my bad release, Rollbar told me exactly which deploy introduced the payment bug, and nothing about the checkout that had slowed to four seconds. If your customers complain about speed more than crashes, Rollbar will point you at the right deploy and the wrong problem.

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