Sentry vs Rollbar: Hands-On Error Tracking Comparison for 2026

Most error trackers look alike until something breaks in production, so I broke something on purpose. I built a small online bookstore, connected it to Sentry and Rollbar at the same time, and shipped an update that went wrong in two ways: checkout became several seconds slower, and one in five card payments started failing.

Both tools caught the failing payments. Rollbar went straight to the likely culprit, naming the deployment that introduced the new error. Sentry reported the same error, then also showed me the slowdown, right down to the database query behind it. Rollbar couldn't show the slowdown at all, because it doesn't measure how long requests take.

That difference runs through the whole comparison. Rollbar is an error tracker, and a strong one, especially at tying errors to the releases that caused them. Sentry is a broader monitoring platform: next to errors, it records traces, logs, page performance and profiles, and it adds an AI debugger called Seer.

Below, you'll see how each product handles the jobs you'd actually buy it for: capturing and debugging errors, grouping them, replaying sessions, tracking releases, spotting slowdowns, AI help and price. Every result comes from one hands-on test in October 2026, and I point out where my setup shaped a result.

The verdicts in one table

How I tested

The test app is monitoring-lab, a deliberately broken bookstore. It has an Express 5 API with SQLite, a Vite storefront, a fake price service that fails on purpose and a sales report job that runs every minute. Each monitoring tool plugs in through one adapter file per side, so Sentry and Rollbar received the same kinds of errors from the same code.

The app contains a mix of seeded problems:

• a backend TypeError when a checkout uses an unknown coupon, which I call the coupon error below
• a backend TypeError for a missing book, an OutOfStockError, a 503 from the price service, an unhandled promise rejection and a failing background job
• a browser TypeError on the wishlist button and failed API calls on the storefront
• a slow book page, a CPU-heavy search and a broken cover image

A traffic script sent three API users and two headless Chromium users, alice, bob and carol, through the shop. I then shipped three releases to both tools on October 22, 2026:

The SDKs were @sentry/node and @sentry/browser 11.8.0 with tracing, replay and profiling, and rollbar on the server with rollbar/replay from rollbar 4.1.0 in the browser. Each tool got one project that accepted both SDKs.

A few conditions affect how you should read the results:

• Only Sentry had my GitHub repository connected. Seer used it to read the code. Rollbar's AI wasn't tested at all.
• Each tool got its own traffic run, so event counts differ between them and shouldn't be compared one to one.
• The browser reports "production" and the backend reports "development", because of how my app is built. Per-environment features split along that line in both tools.
• Everything ran on Node.js and Express. Grouping and some features behave differently in other languages.

The test that split them

The third release is the one to remember. It broke the shop in two ways at once, and the two tools saw different amounts of the damage.

The first problem was a new error. Both tools reported it, and Rollbar's error page went further by naming the deployment that most likely caused it, which is the question you ask first when you're deciding whether to roll back.

The second problem was a slowdown, and slowness doesn't raise an error. A tool only notices it if it times requests. Sentry does, and its trace of a slow checkout pointed at a single database query. Rollbar doesn't, so on the Rollbar side the slowdown never appeared. The release tracking and performance sections show both halves in detail.

Setup and error capture

Sentry's onboarding detected my GitHub repository during project creation and offered the right Express and browser setup from it. Before you get to the snippet, it asks what you want to monitor:

This choice decides how much of Sentry you're setting up, from errors alone to tracing, replay, logs and profiling. The snippet that followed came with my DSN already filled in and errors, logs, metrics, tracing and profiling switched on, so one paste set up the whole platform.

Rollbar's Node.js setup is short, four steps and about five minutes, but my new project hit three snags:

• The setup pages showed tokens from a project I had deleted, and the new project had none. Nothing arrived until I created a server token and a client token by hand.
• The SDK picker takes one SDK at a time, so you go back with "Select different SDK" for the browser snippet.

Here's the picker:

You can only select one SDK here, although the project accepts both the Node.js and browser SDKs. For an app with a frontend and a backend, you go through the setup twice.

The third snag was on the replay setup page, which suggested a release candidate, rollbar@3.0.0-rc.1, while 4.1.0 was current and worked fine.

Rollbar's docs also suggest setting the user with rollbar.configure, which sets it for the whole server process. Under concurrent requests, one user can overwrite another's, so attach the person to each request instead, as my adapter did.

Once data flowed, capture was equal. Both tools ended the first release with 11 error groups, six from the backend and five from the browser. Errors the storefront caught and reported itself, such as the failed checkout request, appeared in both, because both browser SDKs can report handled errors. Neither tool reported the broken cover image as an error.

Here is Sentry's issue list after the first release. Each browser issue carries a count of attached replays, such as "▷ 7" on the wishlist error.

Notice that backend and browser issues sit in the same list. Rollbar's items list, below, does the same thing, with a replay icon on the browser rows.

The two lists hold the same 11 bugs. The counts next to them differ because each tool had its own traffic run.

Verdict: a tie on capture. Sentry wins on setup, because Rollbar's stale tokens cost me time before the first error arrived.

Debugging an error

Source maps worked in both after I uploaded them. Rollbar can't fetch maps from localhost, so uploading is the only option in a local test. Both pointed the wishlist bug at pages.js:122:13 and highlighted wishlist.items.push(book.id);.

The context around an error is where the two start to differ. Sentry's breadcrumbs are scoped to the request, and its backend events kept the request body, such as {"bookId":6,"coupon":"FREEBOOKS","quantity":1} on the coupon error. Rollbar's server-side telemetry covers the whole process instead. On one of alice's payment errors, the last 100 telemetry events mentioned alice 8 times, bob 6 times and carol 5 times, so you read other people's requests next to hers.

Following an error from the browser to the backend

Many errors you see in the browser are symptoms of something that broke on the server. A failed request shows up as a frontend error, while the real cause sits in the backend. A good debugger takes you from one to the other.

Sentry does. When a checkout with a bad coupon failed, Sentry recorded a browser ApiError for the failed request, and its Trace Preview said "1 other issue appears in this trace", pointing at the backend TypeError that caused it:

You go from the symptom to the cause in one click. Opening the trace shows the whole path of that checkout, from the click in the browser through the API and Express middleware down to the database query:

Each bar is one step of the request, 12 in all. The trace's Logs tab listed both sides' log lines in order, and because the browser passed its replay ID along with the request, the backend TypeError showed alice's session replay too.

Rollbar recorded the same two errors and kept them apart. The browser ApiError and the backend TypeError were separate items with nothing joining them, because Rollbar has no distributed tracing. Its Related tab lists "Similar items, based on item titles", which gave me other browser ApiErrors. The People page doesn't join the two sides either:

bob appears twice, once in development with 6 items and once in production with 5. Part of that is my environment split, but even in one environment, nothing would link his browser error to the backend error it came from.

Verdict: Sentry. Linking a frontend symptom to its backend cause is the biggest debugging advantage in this comparison, and Rollbar has no equivalent.

Better Stack gave me the link Rollbar couldn't, and I didn't have to re-instrument the backend to get it. The API kept the same Sentry SDK, pointed at a Better Stack DSN, and the storefront used Better Stack's browser tag. The session timeline then put a whole checkout on one screen: the replay, 30 frontend spans and 7 backend spans from the same visit.

From any backend error, one "View related" menu jumps to that session's replays, the request's logs and spans, the release or an AI investigation. Sentry gets you most of this, spread across the issue page, the trace view and its explorers. Rollbar has none of it.

See frontend sessions and backend traces on one timeline

Grouping

Grouping decides how many items land in your list for one bug. A tool can get this wrong in two directions: merging different bugs into one group, or splitting one bug into several. On the first release, both tools got it right, with every seeded bug in its own group.

The real test came when the code changed. My third release added slow work to the checkout before it reached the old bugs, so the stack traces for those bugs changed shape. Here is how many groups each tool showed for the same errors after that release:

What I observed is that Rollbar produced more items for the same bugs. Its own item pages explain why: the two payment items were thrown from the same line, and they differed only in how many framework frames sat below my code. As a result, Rollbar's version page for that release mixed the one new error with repeats of old ones:

Look at the New and Reactivated tabs: five "new" items for a release that introduced one bug.

How far you can generalize from that is limited. It's one app, one language and one kind of code change. It shows that Rollbar's default fingerprint is sensitive to the framework frames under your code, and that Sentry's default was less sensitive here. It doesn't show that Rollbar groups worse for every application. Both tools let you override the default, Rollbar with custom fingerprinting in project settings and Sentry with fingerprint rules, and both can merge groups by hand.

Sentry had a grouping quirk of its own. It folded the new browser checkout failures into the old browser ApiError group and changed the group's title to the payment message, so one group now mixed two causes. In my Sentry vs Airbrake test, the weakness ran the other way, with Airbrake merging two different bugs into one group.

Verdict: Sentry, under these test conditions. If your stack traces vary between requests, plan to set up custom fingerprints in Rollbar early, and test grouping on your own code before you trust either default.

Session replay

Both tools record what the user did before an error, and this is Rollbar's strongest feature.

Rollbar puts the replay on the item itself, in a "Session replay & telemetry" panel, with a player and an event list beside it:

The event list carries network calls with status and timing, clicks with their CSS selectors and navigation. Note the linked item in the list: other Rollbar errors from the same session appear as links, which is the closest Rollbar comes to connecting events. A separate Replays page lists every recording with its starting page, person, duration and trigger.

Sentry's replay goes deeper. It writes an AI summary of each session, a paragraph plus a short timeline with error steps in red:

The four steps matched what the headless user actually did, so you can skim a session without watching it. Sentry's Network tab was also the only place either tool surfaced the broken cover image, as a failed image request. By default, Sentry masks all text in recordings, so expect asterisks until you unmask non-sensitive text.

Volume is the practical difference. Rollbar's free plan includes 1,000 replays a month. Sentry's plans include 50, and you pay for more.

Verdict: Rollbar if you want replay for many sessions on a small budget. Sentry if you want replays that summarize themselves and attach to the backend errors they caused.

Release tracking and regressions

The two tools learn about releases differently. Sentry reads the release from the SDK, so a new version shows up the moment it sends data. Rollbar reads the version from the SDK too, but its deploy features need a separate call to its deploy API, which I made with each release.

When a fixed bug comes back

A regression is a bug you marked as fixed that comes back. To test this, I resolved the coupon error in both tools for the next release, then shipped that release without the fix. A good tool should stay quiet about old events, then reopen the error as soon as the new version hits it.

Both tools did exactly that, and only the coupon error reopened in either. Resolving works a little differently in each. Sentry's Resolve menu offers the next release, a specific release or a commit. Rollbar takes a version number and a comment. Rollbar also passed an accidental test: my first 1.1.0 run actually ran 1.0.0, and Rollbar kept the error resolved while 11 old-version events arrived.

The difference is where the reopen shows. Sentry labels it in the issue list:

The coupon row says "Regressed" under its trend line, so you spot it while scanning the list. The 1.1.0 release page also had a Regressed tab with only that issue in it. One small flaw: the activity feed read "Regressed in 1.1.0 compared with 1.1.0", where it should have said 1.0.0.

In Rollbar's list, the coupon row just turned active again, with no label. Open the item, though, and you get the most useful reopen panel in the test:

It shows when the item reactivated, how many times it has happened since, the version it returned in and "Suspected deploy: 45859437", linked to the deploy. The 1.1.0 version page also has a Reactivated tab, much like Sentry's Regressed tab.

Auto-resolve on deploy

Rollbar has a setting I didn't find in Sentry: Auto-resolve on deploy, set per environment. Sentry's auto-resolve works by how long an issue has been quiet instead. With Rollbar's setting on, the next deploy resolved every backend item at once:

That includes bugs nobody fixed, such as the missing-book error and the price service 503. Once traffic resumed, the version page caught three of them coming back. You get a clean slate with each release, and the trade-off is that a rare bug can drop out of the active list until it happens again.

Naming the release behind a new error

When a new error appears right after a release, the first thing you want to know is whether that release caused it. This is where Rollbar's deploy tracking pays off. For the new payment error in my third release, its item page named the deploy straight away:

"Suspected deploy: 45860037" and "First version: 1.2.0" answer the roll-back question without any digging.

Sentry's answer is a Suspect Commit, which needs the commits linked to the release with sentry-cli releases set-commits. Here it is on the same error:

My repository has a single commit, and the bad release switches the bug on with a flag, so the suspect commit couldn't point at anything useful. That's a limit of my test app. In a repository with one commit per change, a commit is a more precise answer than a deploy. The stack trace and breadcrumbs, though, already told the story in order: a slow query, the book found, the coupon applied, a slow payment gateway retried, then the exception.

Verdict: Rollbar for connecting errors to deploys, with the suspected deploy and auto-resolve. Sentry for seeing regressions at a glance in the list, and for commit-level answers once your release history is real.

Better Stack gave me the visible regression label Rollbar lacked, and like Sentry, it read releases straight from the SDK with no deploy call. When the coupon bug came back, its row in the errors list switched from "Unresolved" to a red "Reoccurred":

On the error itself, the activity feed recorded when it appeared, when it was resolved and when it came back, and the release tags split its events between the two versions, 34 on 1.0.0 and 10 on 1.1.0. You see the regression while scanning the list and can prove it on the error page.

Catch regressions the moment they come back

Performance and logs

Not every bad release throws an error. Sometimes requests just get slower, and only a tool that times them will notice. Sentry does this with tracing, which records how long each step of a request takes. After my third release, its trace of one checkout request showed where the time went:

The checkout took 2.26 s, and one database query, SELECT book for checkout, took 1.79 s of it. A new payment step took 459 ms and failed. You can see the cause without opening any code.

To check whether that was one bad request or the whole release, I grouped checkout times by release in Sentry's Trace Explorer:

The slowest 5% of checkouts took 5.29 ms on 1.0.0, 3.63 ms on 1.1.0 and 5.93 s on 1.2.0, so the slowdown starts exactly at the bad release.

Sentry covers the rest of the performance picture too. It received 129 log lines in an hour, and each trace's Logs tab shows the lines for that request. Its Web Vitals dashboard scored the storefront 90 out of 100, though with my hash-based routing every page was named /, so I couldn't single out the slow book page without custom page names. Profiles arrived as well.

Rollbar has no tracing, performance, web vitals or logs product, so it never showed the slowdown. My app's "slow query" warnings reached Rollbar only as console lines inside server telemetry, attached to whatever error happened next.

Verdict: Sentry, clearly. If your releases tend to break by getting slower, Rollbar won't tell you, and you'll need a separate APM and logging tool next to it.

This is where Better Stack pulled ahead of both tools. Rollbar never saw the slowdown, and Sentry saw it but split old bugs into duplicate issues in the same release. In Better Stack, the slowdown was one click from the new error: "View spans" on the payment error opened that failing request, a 2.19 s checkout with a 1.53 s database query and the 660 ms payment step.

"View logs" on the same error opened Live tail filtered to that request, with the slow-query warning next to the failure:

It also kept the bad release readable. The new payment error stayed one group of 10 exceptions across every amount, and the coupon bug stayed one error across all three releases, where Sentry and Rollbar both opened duplicates.

Go from an error to its spans and logs in one click

AI root cause analysis

This section isn't a head-to-head. I connected my repository only to Sentry and ran only Sentry's AI, so the results below describe Seer, and the Rollbar part comes from its documentation.

Sentry Seer

On the coupon error, Seer returned a root cause in about 15 seconds, and it was correct: the checkout code reads .discount from a coupon lookup that can come back empty, and the FREEBOOKS code isn't in the coupon list. Its suggested fix, rejecting unknown coupons with a 400 response, was sensible.

On the new payment error from the bad release, it did as well:

In about 20 seconds, it found the flag that turns on the bad behavior in that release and the counter that fails every fifth payment. That's the exact cause, read from the code.

Seer also has a chat, Seer Agent, which is in beta. I asked it: "We just deployed monitoring-lab@1.2.0. Checkout feels slower and there's a new error. What changed compared to 1.1.0, and what is the root cause?"

It answered in 51 seconds with the right numbers, a median checkout time rising from 1.7 ms to 3.77 s. Its explanation was wrong, though. It blamed the slowdown on payment retries, while the trace shows the slow database query running before the payment code even starts. A follow-up question got a correct table of slower steps and the same wrong explanation. Seer was reliable on code-level causes in my test, and less reliable when the cause was in performance data.

Rollbar Root Cause Analysis

Rollbar has its own AI root cause analysis, available on every plan, including Free, with a credit subscription. According to its docs, it writes up the context, root cause and probable fix, and a second step, Resolve, in open beta, writes a fix in a sandbox and opens a pull request. It reads your code if you connect GitHub, and the docs say that without code access, the analysis may come back as "Root cause indeterminable".

I didn't connect GitHub to Rollbar or run its analysis, so I can't say how its answers compare with Seer's. Both vendors also offer an MCP server for outside coding agents, which I didn't test either.

Verdict: Seer is the only one of the two I can vouch for, and it earned that on code-level bugs. Rollbar's analysis deserves its own trial on your errors before you rule it out.

Seer Agent had my code and still misread the slowdown. Better Stack's AI SRE had no access to my repository and got both causes right. I asked it the same question, and over about four minutes it worked through releases, traces and logs and kept the two problems apart:

• The slowdown: the checkout query went from 0.13 ms to 2.6 s at the median while every other query stayed near 0.1 ms, so it ruled out the database server and pointed at the checkout code.
• The new error: the new payment step failed 10 of 48 times, all on the bad release, and it linked the failures to the new error.

It recommended disabling the flag or rolling back, which was the right call. It took longer than Seer's 51 seconds, and it showed the run's cost, $0.49. Of the AI answers in this test, it was the only one that explained both problems correctly.

Investigate regressions with Better Stack AI SRE

Pricing

The prices below are a snapshot from each vendor's pricing page and docs on October 23, 2026. Both change often, so check them before you buy.

Free plans

What the first paid plans include

The next tiers up are Sentry Business, at $89 a month or $80 billed annually, and Rollbar Advanced, from $13 a month with 8,000 AI credits and 180-day retention.

What costs extra

Rollbar says a typical root cause analysis uses 500 to 700 credits. Its docs also note that each run reserves up to 12,000 credits by default, so check your balance before relying on small packs.

On the numbers alone, Rollbar is cheaper, and its free plan has no seat limit, which matters if you want the whole team in the tool. The comparison changes once you count what Rollbar doesn't do. Sentry's price includes tracing and logs, so before you compare totals, add the APM and logging tools you'd run next to Rollbar. If you're weighing either one against a platform that bundles logs, uptime and on-call, there's a comparison for Sentry and a matching one for Rollbar.

Verdict: Rollbar for error tracking and replay alone. Sentry once you'd otherwise buy tracing and logs separately.

Full feature comparison

Which one should you pick?

Pick Rollbar if your main job is catching errors and connecting them to deploys, and you already have APM and logs elsewhere or don't need them yet. Its suspected deploy is the clearest "what broke this" signal in the test, and generous free replays with unlimited users make it easy to roll out to a whole team. Set up custom fingerprints early if your stack traces vary.

Pick Sentry if your bugs often start as "checkout is slow" or "the page shows an error" and the cause lives somewhere else. Only Sentry followed a failure from a browser click to a database query, and only Sentry noticed that the bad release made checkout more than a thousand times slower. In exchange, you get a busier interface, a higher bill and a replay quota you'll outgrow quickly.

Everything here ran on Node.js and Express. Both vendors have SDKs for Python, Ruby, Go, Java, PHP and mobile, and grouping and features like profiling vary by language, so check your SDK's docs.

Final thoughts

The real question is how your releases usually go wrong. If they break loudly, with exceptions, Rollbar tells you which deploy to look at and costs a fraction of Sentry. If they break quietly, by getting slower, you need a tool that measures requests, and of these two only Sentry does.

My bad release broke both ways at once, and Rollbar only ever saw half of it.

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