Every release raises two questions. Is this version healthy? And if something broke, which deploy did it? BugSnag and Rollbar are both focused error trackers, without the full observability suites of their bigger rivals, and each is built around one of those questions.
BugSnag answers the first with a score. It counts user sessions per release and turns crashes into a stability percentage, and my first release came back at 83.1%, labelled "Critical stability" against a 90% threshold. Rollbar answers the second with a link. When a bug I'd marked as fixed returned, its error page named the "Suspected deploy" and linked straight to it.
The rest of the comparison follows from that split. BugSnag is better at describing errors: it separates crashes from handled errors, ties events to the user who hit them and lets you snooze an error until it gets worse. Rollbar is better at working with them: it replays the failing request as a curl command, records browser sessions and lets you query every occurrence with an SQL-like language.
Below, you'll see both tools take on the jobs you'd buy an error tracker for, from capture and debugging to triage, releases, replay, performance, AI and price. Each section ends with a verdict, and every finding comes from my own hands-on test in October 2026.
| Job | Better in my test | Reason |
|---|---|---|
| Setup | BugSnag | Guided onboarding; Rollbar's new project showed stale tokens |
| Capture and grouping | BugSnag | Separate handled and unhandled errors; Rollbar logged the promise rejection as debug |
| Error context | Split | BugSnag ties events to users and sessions; Rollbar adds a curl replay and value statistics |
| Breadcrumbs | BugSnag | Scoped to the request; Rollbar's server telemetry mixes all requests |
| Search and queries | Rollbar | RQL queries over every occurrence; BugSnag has structured filters only |
| Triage | BugSnag | Snooze by occurrences or users; Rollbar snoozes by time only |
| Releases and regressions | Split | BugSnag scores stability per release; Rollbar names the suspected deploy |
| Session replay | Rollbar | 1,000 free replays a month; BugSnag lists no replay product |
| Performance | BugSnag, with work | Available through OpenTelemetry; Rollbar has none |
| AI | Not compared | I ran neither tool's AI |
| Price | Rollbar | Published prices from $9 a month, unlimited users on the free plan |
My test app, monitoring-lab, is a bookstore built to fail. An Express API on SQLite handles the shop, a fake price service returns 503s on purpose, and a reporting job fails every minute. A thin adapter wires in each tool, so both saw the same seeded failures from the same server code.
The failures included:
Simulated shoppers, alice, bob and carol, hit the API from a traffic script. I shipped version 1.0.0, marked the coupon crash as fixed, then shipped 1.1.0 with the crash still in it. For Rollbar, I also tested the browser SDK and its session replay, and shipped a third version that introduced a new payment error. Where I describe BugSnag features I didn't run, such as its browser SDK or performance monitoring, the description comes from BugSnag's own pages and is marked as such.
Some ground rules:
BugSnag's onboarding is a four-screen wizard that ends with the integration snippet. It starts by asking where your app runs:
The choices are Mobile, Browser, Server, Desktop, TV and Console, and the platform list narrows from there. For Express, the integration page gave me the install command and showed where the request handler and error handler go. It also says server performance "is fully compatible with OpenTelemetry SDKs", which matters later, because the BugSnag SDK doesn't include it.
Rollbar's setup is a short four-step page for Node.js, but my new project hit a snag before any data arrived. The setup pages printed access tokens from a project I'd deleted, and the new project had none. I had to create tokens by hand under Project access tokens before anything was accepted. Its SDK picker also takes one SDK at a time:
Picking Node.js hides the browser snippet, and you reach it only through "Select different SDK", even though the same project takes both.
Verdict: BugSnag. Its guided setup worked the first time, while Rollbar's stale tokens cost me a round of debugging.
Both tools turned my six server bugs into six groups, and both kept the two crashes in different routes apart, even though they're the same kind of TypeError. BugSnag's inbox shows them like this:
Each row has a colored dot and a badge for handled or unhandled, so the crashes stand apart from the errors my code reported on purpose. The sidebar adds saved views such as Introduced Today, For review and Assigned to me.
Rollbar handles that distinction differently. Every item gets a level, and my handled out-of-stock error showed "error", the same as the crashes. The uncaught promise rejection was worse off:
Look at the level picker at the top: "Debug". The only sign it was uncaught is an is_uncaught: true attribute in the parameters, so a crash can end up looking less urgent than a handled warning. You can change an item's level by hand, but the default misleads.
Grouping held in both tools for this release. When code changed later in my Rollbar test, its default fingerprint, which includes framework frames under your code, split one new error into two items and opened duplicates for old bugs. Rollbar also grouped out-of-stock errors for different books under the first book's title. Both tools let you change the rules: BugSnag offers "Group by error class" and "Group by error context" in project settings, and Rollbar offers custom fingerprinting. I didn't run BugSnag through the same code change, so I can't say whether its default would have held.
Verdict: BugSnag. The handled and unhandled badges are the more useful default, and Rollbar's debug-level rejection is a trap for anyone who filters by level.
Neither tool showed source code for server frames. BugSnag showed the frames, server.js:38:45 and then the router, with a "Raw view" toggle. Rollbar showed one project frame, anonymous handlers as <unknown>, and "9 non-project frames" collapsed. Both pointed at the right line, and both left the code itself to your editor. Beyond the stack trace, each tool adds context in its own way.
BugSnag gives the user their own tab on every event, with email and ID. Next to it, a Correlated events tab lists the other events from the same user and session:
Opened from carol's coupon crash, the tab listed her out-of-stock errors from the same visit. When one customer reports "checkout is broken", you can see everything else that went wrong for them without searching. Handled errors carry their own metadata tab, so the book ID, email and quantity my code attached sit in a labelled panel.
Rollbar's item page has a feature I haven't seen elsewhere. It rebuilds the failing request as a ready-to-run command:
Copy it, run it against your local server, and you reproduce bob's failed checkout with his headers and the FREEBOOKS coupon in the body. For a server-side bug, that's often the fastest path from report to fix.
Rollbar's parameters table adds a Typicality column, which shows how common each value is across all occurrences of the item:
A value at 100% is in every occurrence, while a rare one stands out as a lead. On this handled out-of-stock error, the custom fields score 74% for bookId and 26% for email, so you can see at a glance which details recur.
BugSnag's breadcrumbs are a timeline scoped to the request, with a type filter and search:
"Error Occurred" sits under the app's own "book found" entry with its book ID, title and stock, and nothing from other requests gets in the way.
Rollbar's server-side equivalent is telemetry, and it covers the whole process:
Bob's coupon crash shows carol's and alice's orders and other requests' price lookups in the same list, along with Rollbar's own calls to its API. Under real traffic, you have to work out which lines belong to the failing request. Rollbar's browser SDK has no such problem, since a browser tab serves one user.
Verdict: a split on context, with BugSnag ahead on breadcrumbs. Rollbar's curl replay and typicality are excellent for reproducing server bugs. BugSnag's user tab and correlated events are better for understanding one customer's experience, and its request-scoped breadcrumbs are cleaner.
Rollbar's server telemetry mixes every request together, neither tool keeps logs, and BugSnag's Trace tab stays empty without OpenTelemetry. Better Stack starts from the error and branches out. "View related" on a server exception opens the logs for that request, its spans, related errors, the release and the browser replays from the same visit:
Every link is filtered to that one request, so the lines from other shoppers that crowd Rollbar's telemetry never show up.
Both tools found bob's errors, by different routes.
BugSnag uses structured filters. The filter userEmail:bob@example.com with status:open returned two errors, the coupon crash with 3 events and the out-of-stock error with 4:
Each filter becomes a chip you can edit or remove, so it's hard to get the syntax wrong.
Rollbar's search box takes a query syntax instead, and it's less forgiving. person.email: returned nothing, while the documented form, email:"bob@example.com", found the same two items. Rollbar's real strength is RQL, a query language over every occurrence:
A SELECT ... GROUP BY item.counter, item.title query returned a count per item, and RQL can export to CSV or feed a metrics API. BugSnag has no equivalent, so questions like "which errors hit the most distinct users this week" need its built-in summaries or an export.
Verdict: Rollbar for analysis, BugSnag for everyday filtering. If you want to ask your error data new questions, RQL is a real advantage, but note that the pricing page lists it on the Advanced plan.
Both tools cover the basics: assign, resolve, ignore, comment and merge. Snoozing is where they differ most.
BugSnag snoozes an error until it gets worse:
The options are "This occurs again", "This occurs again after…", "This occurs at least…" and "This impacts an additional…" number of users. You can set a noisy error aside and still hear about it the moment it spreads.
Rollbar snoozes by time only:
You pick 1 day, 1 week, 1 month, 3 months or a custom date, and the tooltip notes that snoozing stops notifications. A bug that triples overnight stays quiet until the timer runs out.
Rollbar does ship a far bigger default alert setup. Email starts with 11 rules, including the 10^nth occurrence, high occurrence rates, new items and reactivated items, and it connects to Slack, Jira, PagerDuty, Opsgenie, GitHub and many more. BugSnag's integrations cover Slack, Jira, PagerDuty, Datadog and webhooks.
Verdict: BugSnag. Snoozing by impact is what you want from a busy backlog, and Rollbar's richer alert rules don't make up for a time-only snooze.
BugSnag reads the version from the SDK and counts sessions automatically. With the Express plugin, every request is a session, so each release gets a stability score without any extra setup:
Version 1.0.0 scored 83.103% over 290 sessions and 1.1.0 scored 83.893% over 298, both "Critical stability" against BugSnag's default 99% target and 90% critical line. My app fails on purpose, so those numbers are low by design, and the value is in seeing them per release. Each release page also lists "Errors introduced", which correctly showed none for 1.1.0, since no new bug shipped.
Rollbar builds version pages from the code_version your SDK sends. Deploys are a separate record, created through Rollbar's API or CLI, and until you send one, the deploy markers, the suspected deploy and deploy-triggered rules have nothing to work with.
Next came the regression check: I flagged the coupon crash as fixed in each tool and released 1.1.0 without touching the bug. Both reopened only that error.
BugSnag's "Mark as fixed" is tied to versions automatically. Its activity log explains exactly what happened:
"Fixed by Stanley Ulili, Until this error occurs again in a new version", then "Reopened by BugSnag, This error occurred in 1.1.0". In the inbox, though, the reopened row had no badge and looked like any other open error.
Rollbar's Resolve takes a version number and a comment. After the reopen, the item page went further than BugSnag:
Next to "Reactivated version: 1.1.0", it shows "Suspected deploy" with a link to the deploy record. Like BugSnag, Rollbar's list row only turned active again, so neither tool makes a regression obvious from the list. In a later bad release, Rollbar named the suspected deploy on a brand-new payment error too, which is the fastest roll-back signal I've seen in an error tracker.
Both tools can mark errors as fixed when a new release goes out. Rollbar's "Auto-resolve on deploy" is set per environment, and when I enabled it, one deploy resolved every server item at once:
Unfixed bugs get cleared along with the fixed ones, and they reappear only when they fire again. BugSnag has the same idea under "Workflow automation: Mark errors as fixed after each release", disabled by default. I didn't enable it.
Verdict: a split. BugSnag for release health, since stability scores come free with the SDK. Rollbar for tracing a problem to a deploy, if you report deploys.
Both tools reopened the coupon crash and then left it looking like every other open error in the list. Better Stack put the comeback in the list itself, with a red "Reoccurred" status instead of "Unresolved":
It read releases straight from the SDK, so there was no deploy API to call, and the error's tags split its events by version.
Rollbar records browser sessions and shows the replay on the error itself, in a "Session replay & telemetry" panel:
Beside the player, a list logs each request with its status code and duration, each click with the element it hit, and each page change, and any other Rollbar error from that visit shows up there as a clickable entry. The free plan includes 1,000 replays a month.
BugSnag doesn't list session replay among its features. Its browser SDK records breadcrumbs for clicks, navigation and requests, according to its docs, but you can't watch the session.
Verdict: Rollbar, clearly. Replay is the single biggest feature BugSnag doesn't have.
Rollbar has no performance product. It can't time requests, show slow endpoints or trace a request across services, so in my bad release, where checkout slowed from milliseconds to seconds, nothing in Rollbar showed the slowdown.
BugSnag has a performance product, but you have to bring OpenTelemetry to use it:
All four performance views, from page loads to custom spans, stayed empty with the prompt "Enable BugSnag performance monitoring by installing the OpenTelemetry SDK". Its Releases page has a "Compare release performance" option, greyed out without that data. Oddly, the overview already flagged two built-in performance monitors as "Alerting" while no spans had come in. I didn't set up OpenTelemetry, so I can't judge the results.
Verdict: BugSnag, because it offers performance monitoring at all. Plan for an OpenTelemetry rollout to get it, and remember that I didn't test it.
Rollbar can't see a slow request, and BugSnag needs a separate OpenTelemetry setup before it can. Better Stack traced my app through the Sentry SDK it already used, and the slow checkout was one click from its error:
The 2.19 s checkout spent 1.53 s in one database query. Neither BugSnag nor Rollbar stores logs either, and from the error, Better Stack's "View logs" jumped to Live tail for that single request, showing the app's slow-query warning next to the error:
Both tools offer AI help, and I ran neither, so this section describes what each offers.
BugSnag's "Fix with MCP" button connects an error to SmartBear's MCP server, so a coding assistant in your editor can work on the fix:
Since I'd never connected the MCP server for this project, the dialog offered to install it, and I cancelled.
Rollbar has a built-in "Analyze root cause" button. Its Root Cause Analysis uses AI credits, and a beta follow-up called Resolve can draft the fix as a pull request, according to its docs. On my trial, it asked me to connect GitHub before it would run, with 0 of 15,000 credits used. Rollbar's docs put a typical analysis at 500 to 700 credits.
Verdict: no winner. Rollbar's analysis is built into the product, and BugSnag's hands the work to your editor's assistant. Try each on your own errors before you choose by AI.
Rollbar's AI wanted GitHub and credits before it would start, and BugSnag's wanted a separate MCP server installed. Better Stack's AI SRE worked on the same bad release with no repository and nothing to install:
It pulled releases, errors, traces and logs together, found the checkout query jumping from 0.13 ms to 2.6 s at the median, and matched 10 failed calls out of 48 in the new payment step to the new error. The run lasted roughly four minutes, at a displayed cost of $0.49.
These prices come from each vendor's pricing page on October 23, 2026. Both change, so check before you buy.
| BugSnag Free | Rollbar Free | |
|---|---|---|
| Users | 1 | Unlimited |
| Errors a month | 7,500 events | 5,000 occurrences |
| Retention | 7 days | 30 days |
| Performance | 1M spans, needs OpenTelemetry | ✘: not offered |
| Session replay | ✘: not offered | ✔: 1,000 a month |
| AI | Not listed | ✘: no credits, add-on available |
| BugSnag | Rollbar | |
|---|---|---|
| Entry plan | Select | Essentials, from $9 a month |
| Next plan | Preferred | Advanced, from $13 a month |
| Published price | Set on a volume slider; no fixed figure on the page | Rises with the volume you pick |
| Error volume | 50,000 to 3M events | 10,000 to 50M occurrences |
| Performance volume | 1M to 300M spans | ✘: not offered |
| Replays | ✘: not offered | 1,000 to 10M |
| Retention | 60 days | 90 days Essentials, 180 days Advanced |
| Users | Unlimited | Unlimited |
| AI | Not listed on the pricing page | 4,000 credits Essentials, 8,000 Advanced |
BugSnag's pricing page shows "starting at $0" next to a volume slider instead of real prices, so you'll need to set your volume or ask sales. Third-party listings cite Select from about $20 a month and Preferred from about $33, which I couldn't confirm on BugSnag's own page.
| Need | BugSnag | Rollbar |
|---|---|---|
| More errors | A higher volume tier | A higher volume tier, or on-demand events |
| Performance | Span volume on the slider, plus an OpenTelemetry setup | ✘: needs another product |
| Logs | ✘: needs another product | ✘: needs another product |
| AI | Your own coding assistant through MCP | $5 a month buys 15,000 more credits |
| Spending limit | Not covered in this snapshot | Stops at the plan limit unless you allow overage |
Rollbar's prices are easier to read, its free plan has no seat limit, and replay is included. BugSnag's free plan is for one person and keeps data for just 7 days, which means last week's errors are already gone when you look. For a view of Rollbar next to a single platform covering logs, uptime and on-call as well, read how Rollbar compares with an all-in-one tool.
Verdict: Rollbar. You can see what you'll pay, and the free plan suits a team.
| Feature | BugSnag | Rollbar |
|---|---|---|
| Onboarding | ✔: guided, asks where the app runs | ✔: short page, one SDK at a time |
| Handled vs unhandled | ✔: badge on every row | ✘: levels only, rejection logged as debug |
| Grouping controls | ✔: by class or context | ✔: custom fingerprinting |
| Server source lines | ✘: frames only | ✘: frames only |
| User context | ✔: user tab and correlated events | ✔: people page and person timeline |
| Request replay | ✘: not offered | ✔: curl command |
| Value statistics | ✘: not offered | ✔: typicality per parameter |
| Server breadcrumbs | ✔: per request | ✘: process-wide telemetry |
| Search | ✔: structured filter chips | ✔: query syntax |
| Query language | ✘: not offered | ✔: RQL, Advanced plan |
| Snooze | ✔: by occurrences, time or users | ✘: time only |
| Default alert rules | ✔: email and integrations | ✔: 11 email rules and more channels |
| Release stability | ✔: sessions and scores per release | ✘: not offered |
| Suspected deploy | ✘: not offered | ✔: on reopened and new errors |
| Deploy tracking | ✔: version from the SDK | ✔: deploy API call |
| Auto-fix on release | ✔: off by default, untested | ✔: per environment, tested |
| Regression label in the list | ✘: no badge | ✘: row turns active |
| Session replay | ✘: not offered | ✔: inline on the item |
| Performance | ✔: with OpenTelemetry, untested | ✘: not offered |
| Logs | ✘: not offered | ✘: not offered |
| AI | ✔: Fix with MCP, untested | ✔: Root Cause Analysis, untested |
Pick BugSnag if you care most about release health and a clean backlog. Stability scores per release, handled and unhandled badges, request-scoped breadcrumbs and snoozing by impact make it the calmer tool to live in every day. It suits mobile and frontend teams that track crash-free rates, and teams ready to adopt OpenTelemetry for performance. The same strengths held up against a much larger platform in our Sentry vs BugSnag test.
Pick Rollbar if you want to reproduce server bugs quickly and connect them to deploys. The curl replay, typicality, suspected deploy, RQL and 1,000 free replays give you more tools per error, at a price you can read off the page. Set its levels and fingerprinting carefully, and keep in mind that it has no performance monitoring at all. How much that gap hurts on a slow release is the core of our Sentry vs Rollbar comparison.
This test used Node.js. Both vendors cover mobile, browser and most server languages, and session tracking, grouping and telemetry differ by SDK.
The choice comes down to the question you ask most after a release. BugSnag tells you whether a version is healthy, and keeps your inbox tidy while you work. Rollbar tells you which deploy to blame, and hands you a command to reproduce the failure.
Neither one will tell you when a release gets slow without crashing, so whichever you pick, it won't be your only monitoring tool.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
There are many alternatives to Bugsnag's APM offering a better, less complicated and more reliable solution to application monitoring.
Better Stack and Bugfender overlap in error monitoring and remote logging but serve different needs. This comparison covers logging, crash reporting, AI debugging, pricing, and compliance to help you decide which fits your stack.
I tested Sentry and BugSnag on the same app to compare grouping, breadcrumbs, triage, regressions, release stability, tracing and pricing, with real results from both.
We use cookies to authenticate users, improve the product user experience, and for personalized ads. Learn more.