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

I shipped a bad release to a test bookstore that made checkout several seconds slower and failed one card payment in five. Rollbar caught the new payment error and named the deploy that most likely caused it. Sentry caught the same error, then showed me a trace where one database query took 1.79 seconds of a 2.26-second checkout.

Rollbar never saw the slowdown. It doesn't time requests, so a release that only gets slower looks healthy there.

That gap follows from what each product is. Rollbar is an error tracker with session replay and deploy tracking, while Sentry is a wider monitoring platform that adds traces, logs, web vitals, profiling and an AI debugger called Seer next to its errors.

To see how that plays out day to day, I wired Sentry and Rollbar into one Node.js bookstore side by side, fed them identical browser and server code, and pushed three releases through both. Rollbar was better at answering "which deploy broke this", and Sentry was better at almost everything that happens after an error leaves the browser.

The test ran in October 2026, and every screenshot below comes from it. The sections below cover setup and error capture, debugging and grouping, real user monitoring with session replay, release tracking, performance, logs, alerts, AI and pricing.

Sentry vs Rollbar: Results at a glance

These verdicts come from my Node.js and Express app and my configuration, so treat them as results from one setup.

How I tested Sentry and Rollbar

The test app is monitoring-lab, a bookstore I broke on purpose. It runs an Express 5 API on SQLite, a Vite storefront, a fake price service that fails by design 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 errors from the same code.

The app contains these problems:

• Backend errors: a TypeError when checkout gets an unknown coupon, which I call the coupon error below, plus a TypeError for a missing book, an OutOfStockError, a 503 from the price service, a promise rejection nobody handles and a background job that fails.
• Browser errors: a TypeError on the wishlist button and failed API calls that the storefront catches and reports.
• Debugging context: source maps, breadcrumbs, request bodies, affected users and the link between a browser error and its backend cause.
• Performance problems: a slow book page, a CPU-heavy search and a broken cover image.
• Release problems: a resolved error that comes back, and a bad release that adds a slow query and a new payment error.

A traffic script sent three API users and two headless Chromium users, alice, bob and carol, through the shop.

The three releases

I shipped three versions to both tools on October 22, 2026.

The third release mattered most, because it broke the shop in two ways at once.

The new payment error throws an exception, so any error tracker can catch it. The slow query throws nothing, so only a tool that measures request time can see it.

That one release shows the difference between the two products better than any feature list.

SDKs and test limitations

A few conditions affect how you should read the results:

• Only Sentry had my GitHub repository connected. Seer used it to read my code. I didn't run Rollbar's AI at all.
• Each tool got its own traffic run. Event counts differ between them and shouldn't be compared one to one.
• The browser reports "production" and the backend reports "development". That's how my app is built, and per-environment features split along that line in both tools.
• Rollbar ran on its 15-day Advanced trial. A few tabs I used, such as Related and Summary, become paid features after the trial.
• Everything ran on Node.js and Express. Grouping and some features behave differently in other languages.
• Some features weren't tested. I didn't test alert delivery, uptime checks or either vendor's MCP server.

Setup and onboarding

Both tools let one project take the Node.js and browser SDKs together. The difference was how quickly the first error arrived.

Sentry: The repository did half the work

Sentry spotted my GitHub repository while I created the project and offered Express and browser JavaScript setup from it. Before the snippet, it asks what you want to monitor:

This screen decides how much of Sentry you set up, from errors alone up to tracing, replay, logs and profiling.

The snippet that followed already contained my DSN and had errors, logs, metrics, tracing and profiling switched on. One paste set up the whole platform.

Rollbar: Short setup, stale tokens

Rollbar's Node.js guide is four steps, estimated at five minutes, and asks for Node.js 14 or later. You install rollbar, set the token and environment, add the error handler as the last middleware, then send a test message.

My fresh project hit a snag first. Its setup pages showed the tokens from a project I had deleted, and the new project had no tokens at all.

Nothing arrived until I went to Project settings, opened Project access tokens and created a server token and a client token by hand.

The SDK picker added a second step for a full-stack app:

You can pick one SDK at a time here, although the project accepts both. For the browser snippet, you go back with "Select different SDK".

The replay setup page also suggested rollbar@3.0.0-rc.1, a release candidate, while 4.1.0 was current and worked fine.

One more detail is worth knowing before you copy the docs. Rollbar's guide sets the user with rollbar.configure, which applies to the whole server process, so under concurrent requests one shopper can overwrite another. My adapter attached the person to each request instead.

Setup comparison

Verdict: Sentry. Its onboarding read my repository and handed me a working DSN. Rollbar's setup is short, but stale tokens cost me time before the first error arrived.

Error capture

Once data flowed, the two tools were level.

Both ended the first release with 11 error groups, six from the backend and five from the browser.

Sentry: Every seeded error, with replay counts

Sentry's issue list put backend and browser issues in one place, and each browser row carries a count of attached replays:

Look at the "▷ 7" on the wishlist error. You can jump from the error count to the sessions behind it.

The errors the storefront caught and reported itself, such as the failed checkout request, appeared too, because the browser SDK reports handled errors.

Rollbar: The same 11 bugs in one list

Rollbar's items list did the same job, with a replay icon on the browser rows:

The list holds the same 11 bugs as Sentry's. The counts next to them differ because each tool had its own traffic run.

Rollbar's rollbar.error call also reported the caught browser errors. Neither tool reported the broken cover image as an error.

Error capture comparison

Verdict: Tie. Both caught every seeded error from both sides and kept them in one list.

Debugging an error

Catching an error only helps if the page tells you why it happened. I compared source maps, request context, breadcrumbs and the path from a browser symptom to its backend cause.

Source maps: Same answer in both

Both tools needed the source maps uploaded. Rollbar can't fetch maps from localhost, so uploading was the only option in a local test.

Once the maps were in, both pointed the wishlist bug at pages.js:122:13 and highlighted wishlist.items.push(book.id);. Here's Sentry's version:

The deliberate-bug comment sits right above the highlighted line, and Sentry offers "Set up Code Mapping" on the frame to link it to the repository.

Rollbar showed the same frame, with its replay panel just below:

The frame reads bookDetail(../../src/pages.js:122:13), and you can start the session replay without leaving the error.

Sentry: Breadcrumbs and the request body

Sentry's breadcrumbs for the wishlist error read like a short story of the click:

You see the fetch to /books/2, the UI click with its CSS selector and the app's own "add to wishlist clicked" breadcrumb, then the exception.

On the server side, Sentry's breadcrumbs stayed scoped to the request, and the backend event kept the request body. The coupon error showed {"bookId":6,"coupon":"FREEBOOKS","quantity":1}, which is the bad coupon in plain sight.

Rollbar: Process-wide telemetry and a curl command

Rollbar's server telemetry works differently. The server SDK keeps one queue for the whole process, so the timeline on an error includes other people's requests:

Notice the orders from other shoppers sitting in the same timeline as the failing request. On one of alice's payment errors, the last 100 telemetry events mentioned alice 8 times, bob 6 times and carol 5 times.

Rollbar makes up for some of that in its params view, which adds a Typicality column:

Each value shows how common it is across occurrences, such as bookId at 74%. That tells you quickly whether a value is part of the pattern or a one-off.

It also has a feature Sentry didn't show me, a ready-made command that re-sends the failing request:

You can paste this into a terminal and reproduce a backend error in seconds.

Following an error from the browser to the backend

Many browser errors are symptoms of something that broke on the server. A failed request shows up in the storefront, while the cause sits in the API.

Sentry connects the two. When a checkout with a bad coupon failed, it recorded a browser ApiError, and its Trace Preview pointed at the backend error behind it:

"1 other issue appears in this trace" lists the backend TypeError reading 'discount'. One click takes you from the symptom to the cause.

Opening the trace shows the whole checkout, from the click through the API and Express middleware down to the database query:

Each bar is one step of the request, 12 in all, and the web vitals chips sit in the header.

The trace's Logs tab adds both sides' log lines in order:

The browser's "checkout partly failed" and the backend's "POST /checkout failed" appear one after the other, each with its error.

Because the browser sent its replay ID with the request, the backend error carried alice's session replay as well:

Notice the request body on the same page. A server error that shows you what the shopper clicked is rare.

Rollbar recorded the same two errors and kept them apart. It has no distributed tracing, so nothing joined the browser ApiError to the backend TypeError.

Its Related tab is the closest thing to a link:

The tab lists "Similar items, based on item titles", which gave me other browser ApiErrors and no backend cause.

The People page doesn't join the two sides either:

bob appears twice, in development with 6 items and 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 behind it.

Debugging comparison

Verdict: Sentry. Following a browser symptom to its backend cause in one click was the biggest debugging gap in the test. Rollbar's Typicality column and curl command are useful, but they don't replace that link.

Rollbar never joined the browser error to the backend one, and Sentry spread the answer across the issue page, the trace view and its Logs tab. I also tested the same checkout in Better Stack, keeping the same Sentry SDK on the API and pointing it at a Better Stack DSN. Its session timeline put the whole visit on one screen: the replay, 30 frontend spans and 7 backend spans.

Look at the Backend row under the frontend spans. The server work for that click sits in the same timeline as the replay.

From the other direction, every backend error has one "View related" menu:

It jumps to the session replays, the request's logs and spans, the release or an AI investigation. There's one catch: the browser tag is in beta, and my wishlist error stayed minified because I couldn't find a documented way to upload source maps for it.

See frontend sessions and backend traces on one timeline

Error grouping

Grouping decides how many items land in your list for one bug. A tool can get it wrong by merging different bugs into one group, or by splitting one bug into several.

On the first release, both tools put every seeded bug in its own group. The test came when the code changed.

What changed in release 1.2.0

The bad release added slow work to checkout before the code reached the old bugs. That changed the shape of the stack traces for errors that already had groups.

Here is how many groups each tool showed for the same errors after that release:

Rollbar: One new bug, five new items

Rollbar split the new payment error into two items. Both were thrown from server.js:173, and they differed only in how many framework frames sat below my code.

The items list after 1.2.0 shows the old bugs back under new numbers:

The coupon error alone now spans three items, #2, #15 and #16, all thrown at the same line.

The version page for the release adds it up:

The New tab counts five items for a release that introduced one bug, so you'd have to open each one to find the real newcomer.

The likely cause is that Rollbar's default fingerprint includes the framework frames under your code. In 1.2.0, how much of the Express stack survived varied from request to request, and each variant became a new item.

That's one app, one language and one kind of code change. It shows that Rollbar's default was sensitive to framework frames here, and it doesn't prove Rollbar groups worse for every application. Custom fingerprinting in project settings, or a manual Merge, fixes it.

Sentry: Fewer duplicates, one mixed group

Sentry kept the new payment error in one issue and opened one duplicate each for the coupon and out-of-stock errors:

Look for MONITORING-LAB-E, the new error with 13 events, next to the duplicate issues C and D. The changed backend stack caught Sentry out too, just less often.

Sentry had a different quirk on the browser side. It folded the new 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 our Sentry vs Airbrake test, the weakness ran the other way, with Airbrake merging two different bugs into one group.

Error grouping comparison

Verdict: Sentry, narrowly. Both tools opened duplicates when the stack changed, and Rollbar opened more of them. If your stack traces vary between requests, set up custom fingerprints early in either tool and test grouping on your own code.

Both tools cluttered the bad release with duplicates of old bugs: Rollbar opened five "new" items, and Sentry opened two copies and mixed two causes in one group. I also ran release 1.2.0 through Better Stack, and the new payment error stayed one group of 10 exceptions, although every message carried a different amount.

The source around server.js:173 shows on the error page, including the comment that marks the deliberate bug.

The old bugs kept their groups too. The coupon error stayed one error across all three releases, and the out-of-stock and recommendation errors got no duplicates:

Release 1.2.0 in development lists 7 errors with 2 marked new. That's one release and one app, but it was the only tool in this test that didn't duplicate an old bug.

Track application errors across releases

Real user monitoring and session replay

Session replay records what a user did before an error, and real user monitoring measures how fast pages load for real visitors. Rollbar offers the first. Sentry offers both.

Rollbar: Replay on the item itself

Rollbar puts the replay inside the error, in a "Session replay & telemetry" panel:

The player has skip-inactive and speed controls, and the event list beside it carries network calls with status and timing, clicks with their CSS selectors and navigation.

The event list also links to other Rollbar errors from the same session:

Look for #1 ApiError GET /orders/tracking 404 in the list. That's as close as Rollbar comes to connecting events.

A separate Replays page lists every recording:

Each row shows the starting page, person, duration, environment and trigger. My recordings ran 0 to 15 seconds, because the headless users move fast.

Sentry: Replays that summarize themselves

Sentry 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 did, including "Attempted to add book to wishlist and encountered a TypeError". You can skim a session without watching it.

By default, Sentry masks all text in recordings, so expect asterisks until you unmask non-sensitive text.

The replay's Network tab was the only place either tool surfaced the broken cover image:

The cover shows up as a 404 img request between the API calls, with its size and duration.

Sentry: Web vitals, with a routing caveat

Sentry also measures page performance. Its Web Vitals dashboard gave the storefront a score of 90:

The P75 figures were LCP 92 ms, INP 8 ms, CLS 0.0007 and TTFB 2.51 s. The slow TTFB is the number to chase here.

The pages view was less useful for my app:

Pages are grouped into just two buckets, "Pageload" and "Navigation". My storefront uses hash routing, so every transaction was named /, and I couldn't single out the slow book page without custom transaction names.

Rollbar has no web vitals, page load timings or RUM product, so the slow book page didn't appear anywhere in it.

Real user monitoring comparison

Verdict: Mixed. Sentry's replays go deeper, and only Sentry measures page performance. Rollbar's free plan gives you 20 times as many replays, which matters if you want a recording for most sessions on a small budget.

Release tracking and regressions

Release tracking answers two questions: did this release cause the new error, and has a bug you fixed come back?

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.

Resolving the coupon error for the next release

To test regressions, I resolved the coupon error in both tools for the next release, then shipped 1.1.0 without the fix.

Sentry's Resolve menu has four options:

You can resolve in the next release, the current semver release, another existing release or a commit. I used "The next release".

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

I entered 1.1.0 and "Coupon lookup fixed in 1.1.0", then reported the deploy through the API.

Rollbar then passed a test I hadn't planned. My first 1.1.0 run actually ran 1.0.0, because an exported shell variable overrode my config:

The deploy appears as a row in the list, and the coupon error stayed resolved while 11 more 1.0.0 events arrived. "Resolved in 1.1.0" ignored the older version, as it should.

Rollbar can also snooze an item, by time only:

The choices run from 1 day to 3 months, plus Custom, and snoozing stops notifications while it lasts.

Sentry: The regression shows in the list

When the real 1.1.0 traffic ran, only the coupon error reopened in either tool. Sentry labeled it in the issue list:

The coupon row says "Regressed" under its trend line, so you spot it while scanning the list.

The release page has a matching tab:

The Regressed tab holds only the coupon issue, next to New Issues 0.

The issue's activity feed had one wording slip:

It reads "Regressed in 1.1.0 compared with 1.1.0 based on SemVer", where it should have said 1.0.0. Sentry still caught the regression, so treat this as a cosmetic slip.

Rollbar: The regression shows on the item

In Rollbar's list, the coupon row just turned active again:

There's no reopened label, and the "New / Reactivated" filter works by timeframe, so it doesn't isolate the reopen.

Open the item, though, and you get the most useful reopen panel in the test:

It shows when the item reactivated, the 9 occurrences since, the version it returned in and "Suspected deploy: 45859437", linked to the deploy.

The deploy link opens a page with the deploy's details:

"Changes since previous deploy" is empty here, because I didn't connect source control to Rollbar.

The version page sums up the release:

The Reactivated tab holds the coupon error with its 9 occurrences, much like Sentry's Regressed tab. Versions are tracked per environment, so the browser errors sat on a separate 1.1.0 page.

Rollbar: 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.

I turned it on for development only before the bad release:

The setting sits next to "Auto-resolve when inactive for N days", and both are off by default.

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. Browser items stayed active, because they report "production".

Once traffic resumed, the version page caught three of them coming back. You get a clean slate with each release, and 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, you want to know whether to roll back. Rollbar's item page for the new payment error answered that at once:

"Suspected deploy: 45860037" and "First version: 1.2.0" tell you which deploy to look at without any digging.

Sentry's answer is a Suspect Commit, which needs the commits linked to the release with sentry-cli releases set-commits:

The frame shows the paymentAttempts % 5 check in my code. The suspect commit itself couldn't help, because my repository has a single commit and the bad release switches the bug on with a flag.

That's a limit of my test app. In a repository with one commit per change, a commit points closer to the bug than a deploy does.

The breadcrumbs on the same page already told the story in order: the slow query, the book found, the coupon applied, the payment gateway retried, then the exception.

Release tracking comparison

Verdict: Rollbar, narrowly. Its suspected deploy answered the roll-back question on both the reopened and the new error, and auto-resolve on deploy gives you a fresh list per release. Sentry was better at showing a regression while you scan the list.

Rollbar hid the reopen in its list until you opened the item, and Sentry's feed named the wrong release. I also ran the coupon test in Better Stack, which read releases straight from the SDK with no deploy call, and the reopened row switched from "Unresolved" to a red "Reoccurred":

Only the coupon row changed, so the regression stands out while you scan the list.

On the error itself, the tags split the events by release:

You can see 34 events on 1.0.0 and 10 on 1.1.0, which proves the bug survived the release, and each tag offers "Add to exception grouping". It has no auto-resolve on deploy and no separate Regressed tab on the release page, so if you rely on those, Rollbar still has the edge.

Catch regressions the moment they come back

Performance monitoring

Not every bad release throws an error. Sometimes requests just get slower, and only a tool that times them will notice.

Sentry: The trace found the slow query

Sentry records how long each step of a request takes. After the bad release, its trace of one checkout showed where the time went:

The checkout took 2.26 s, and SELECT book for checkout took 1.79 s of it. The new payment step took 459 ms and failed, so you can see both problems 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. The spike starts exactly at the bad release.

Profiles arrived as well:

The slowest functions, buildReport and withSpan, sat around 1 ms each. Profiling wouldn't have caught the bad release anyway, because the slowdown comes from waiting, which a CPU profile doesn't sample.

Rollbar: The slowdown never appeared

Rollbar has no tracing or performance product, so the 3 to 5 seconds per checkout in 1.2.0 didn't show on any Rollbar page.

My app's slow-query warnings reached Rollbar only as console lines inside server telemetry, attached to whatever error happened next. You'd find them only if you already knew to look.

Performance comparison

Verdict: Sentry. It found the slow query in one trace and showed when it started. If your releases tend to break by getting slower, Rollbar won't tell you, and you'll need a separate APM tool next to it.

Rollbar never saw the slowdown, and in Sentry you go from the issue to the trace view to find it. I also traced the bad checkout in Better Stack, where "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.

The slow query and the new payment span sit on the same failing request, with the middleware under a millisecond each.

"View logs" on the same error opened Live tail filtered to that request:

The slow-query warning sits next to the failure, so the measurement and the log line confirm each other. Sentry gets you to the same evidence, and Better Stack gets you there from one menu on the error.

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

Logs and events

Logs fill in what traces and errors leave out, such as the warnings your app writes when something is slow.

Sentry: A logs explorer tied to traces

Sentry received the app's log lines and charted them per minute:

It took in 129 log lines in an hour, each with a severity dot. The sales report job's "sales report built" line shows up once a minute.

The same lines appear on each trace's Logs tab, as you saw in the debugging section, so you rarely need to search for them.

Rollbar: RQL over errors, no log store

Rollbar has no logs product. Console output only reaches it as telemetry attached to an error.

It does have RQL, an SQL-like query language over error occurrences:

A GROUP BY query returned per-item counts, and the editor enforces GROUP BY rules the way SQL does. It's useful for slicing errors, though it can't query logs you never sent.

Logs and events comparison

Verdict: Sentry. It stored my logs and tied them to requests. Rollbar's RQL is handy for error analysis, but you'd need a separate logging tool for everything else.

Uptime, status pages and alerts

I didn't test uptime checks, status pages or alert delivery in either tool, so this section has no winner.

Rollbar's notification settings came with 11 default email rules, including New item, Item reactivated, Deploy and a high occurrence rate of 10 in 5 minutes. It also lists channels such as Slack, Jira, GitHub, PagerDuty, Opsgenie and webhooks.

Sentry offers uptime and cron monitoring. I didn't find an uptime or status page product in Rollbar.

Verdict: Not compared. Neither tool's alerting or uptime checks were part of this test.

AI-assisted debugging

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: Strong on code, weaker on performance

Seer needs a repository and accepted AI terms before it runs. Here are my settings after setup:

One repository is connected, and automation is set to "Stop after PR drafted", so Seer can write a pull request if you let it.

On the coupon error, Seer returned a root cause in about 15 seconds:

It was correct: the checkout code reads .discount from a coupon lookup that can come back empty, and FREEBOOKS isn't in the coupon list. It cited line 150 and the code it read from my repository.

Its plan, rejecting unknown coupons with a 400 response, was sensible. Seer also assigned the issue to me when the plan started.

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 1.2.0 and the counter that fails every fifth payment. It explained the error only, and it didn't mention the slow queries.

Seer also has a chat, Seer Agent, 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: median checkout time rose from 1.7 ms to 3.77 s. Its count of 3 new issue groups included the two duplicates from the grouping section.

The explanation further down was wrong:

It blamed the slowdown on the payment timeout, while the trace shows the slow database query running before the payment code even starts.

I asked which spans got slower, and the follow-up kept the mistake:

The table is right, with SELECT book for checkout going from 0.1 ms to 2,640 ms. The text still says payment retries slowed the queries, and that removing the payment code "should restore all spans".

Seer was reliable on code-level causes in my test, and less reliable when the cause lived in performance data.

Rollbar Root Cause Analysis

Rollbar has its own AI root cause analysis, available on every plan, including Free, through a credit subscription. According to its docs, it writes up the context, root cause and probable fix.

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.

AI comparison

Verdict: Not compared. Only Seer ran, and it ran with my code. It earned trust on code-level bugs and missed the performance cause, so Rollbar's analysis deserves its own trial on your errors.

Seer Agent had my code and still blamed the payment step for a slow database query. I also put the same question to Better Stack's AI SRE, with no access to my repository, and over about four minutes and 30 steps it worked through releases, errors, traces and logs.

The checkout query went from 0.13 ms to 2.6 s at the median while every other statement stayed near 0.1 ms, so it ruled out the database host and pointed at the checkout code.

It kept the second problem separate:

The new payment step failed 10 of 48 times, all on 1.2.0, and it linked those failures to the new error, then recommended disabling the flag or rolling back. It was slower than Seer's 51 seconds, it cost $0.49, and without my code it called the payment failure a short timeout, but it was the only AI answer in the test that explained both problems correctly.

Investigate bad releases with Better Stack AI SRE

Pricing

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

Sentry bundles tracing and logs into its plans and sells Seer separately. Rollbar sells error tracking and replay, with AI credits included from its first paid tier.

Free plans and trials

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.

Comparing the actual cost

On the numbers alone, Rollbar is cheaper. Its free plan has no seat limit, which matters if you want the whole team in the tool from day one.

The comparison changes once you count what Rollbar doesn't do. Sentry's price includes tracing and logs, and my bad release showed why you'd want them.

Before you compare totals, add the APM and logging tools you'd run next to Rollbar. Sentry's own catch is the replay quota, since 50 replays a month runs out fast on a busy storefront.

If you're weighing either one against a platform that also bundles uptime and on-call, our comparison for Sentry covers that side.

Verdict: Rollbar. It's the cheaper way to get error tracking and replay for a team. Sentry becomes the better deal once you'd otherwise buy tracing and logs separately.

Full feature comparison

This table combines everything I observed in the test.

Which should you choose?

The choice comes down to whether your releases fail by throwing errors or by getting slower.

Choose Rollbar if you need errors tied to deploys

Rollbar fits when your main job is catching errors and connecting them to deploys, and you already run APM and logs elsewhere or don't need them yet.

Its suspected deploy was the clearest "what broke this" signal in the test, on both the reopened coupon error and the new payment error. Auto-resolve on deploy, the Typicality column and the curl command make triage faster once you know where to look.

The free plan's 1,000 replays and unlimited users make it easy to roll out to a whole team.

The trade-offs are real, though. Rollbar never saw my slow release, its server telemetry mixes requests from different users, and its default grouping opened duplicate items after a code change. Set up custom fingerprints early if your stack traces vary.

If you'd like to weigh it against a platform that bundles logs, uptime and on-call, our comparison for Rollbar covers that.

Choose Sentry if your bugs start in one place and end in another

Sentry fits when your bugs often show up 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. Seer found code-level causes in seconds once it could read my repository.

In exchange, you get a busier interface, a higher bill and a replay quota you'll outgrow quickly. Seer Agent also misread the slowdown, so check its performance explanations against the trace.

Everything here ran on Node.js and Express, and grouping and 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.

Rollbar's suspected deploy was the fastest roll-back answer either tool gave me. It just can't help with a problem that never throws.

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