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

My first release came back from BugSnag as a number: 83.1% session stability, labelled "Critical stability". When I shipped a supposedly fixed bug in the next release, Rollbar answered with a link instead. Its error page named the "Suspected deploy" and pointed straight at it.

That split runs through the whole comparison. BugSnag is a stability monitor that counts sessions per release and turns crashes into a score. Rollbar is an occurrence-based error tracker built around deploys, with browser session replay and a query language on top.

To see how that plays out, I connected both tools to the same deliberately broken Node.js bookstore and fed them the same seeded bugs. Then I shipped new releases and watched what each tool noticed.

BugSnag described my errors better. It separated crashes from handled errors, tied each event to the user who hit it and let me snooze an error until it spread. Rollbar gave me more to act on, starting with a ready-to-run curl command for the failing request, plus recorded browser sessions and SQL-like queries over every occurrence.

Neither tool saw the slow checkout I shipped in my last release. Rollbar has no performance product, and BugSnag's needs an OpenTelemetry setup that its own SDK doesn't include.

The sections below use screenshots from my tests in October 2026. Each section takes one area: setup, capturing errors, debugging, how issues get grouped, session replay, release tracking, performance, logs and queries, alerts and triage, AI and pricing.

BugSnag vs Rollbar: Results at a glance

The verdicts below reflect my Node.js app and configuration. A different stack or SDK could change some of them.

How I tested BugSnag and Rollbar

My test app, monitoring-lab, is a small bookstore built to fail. Behind a Vite storefront sits an Express API backed by SQLite, plus a mock price service rigged to return errors and a sales report job that breaks each minute.

A single adapter file per side connects each tool, which meant identical code sent both of them identical failures.

The seeded problems fall into five groups:

• Backend crashes: a TypeError when checkout uses a coupon code that doesn't exist, which I'll call the coupon error from here on, and another TypeError when someone opens a book that doesn't exist.
• Handled and background errors: an out-of-stock error that my code reports on purpose, a 503 from the price service, a recommendation timeout that ends up as an unhandled promise rejection, and the failing sales report job.
• Browser errors: a broken wishlist button, plus API calls that fail with 404, 500 and 502 responses.
• Performance problems: a slow book page, a price lookup that drags, and a search endpoint that burns CPU.
• Release problems: a regression of an already fixed bug, plus a bad release that introduces a new payment error and a slow database query.

A traffic script played three shoppers, alice, bob and carol, against the API, and two of them also browsed the storefront in headless Chromium.

The three releases

Release 1.2.0 broke the app in two ways at once. The payment error throws an exception that any error tracker can catch.

The slow query throws nothing. Checkout keeps working, it just takes seconds longer, and only a tool that measures requests will notice.

SDKs and test limitations

Keep these limits in mind as you read:

• Both tools ran on trials. BugSnag's 14-day trial and Rollbar's 15-day Advanced trial didn't ask for a card.
• BugSnag ran on the server through releases 1.0.0 and 1.1.0. I didn't test its browser SDK, its OpenTelemetry performance monitoring or its "Fix with MCP" workflow. Where those come up, the description comes from BugSnag's own pages and is marked as untested.
• Rollbar also ran in the browser and through 1.2.0. Results from its browser SDK, session replay and the bad release are Rollbar-only findings, and I don't count them against BugSnag.
• Traffic runs were separate. Event counts in this article come from different runs, so don't compare them one to one.
• The two sides reported different environments. The storefront reported "production" because Vite builds in production mode, and the server reported "development". That's my app's setup, and it affects Rollbar's per-environment features.
• Only Node.js was tested. Both vendors support many more platforms, and sessions, grouping and telemetry vary by SDK.
• AI and alert delivery weren't tested in either tool.

Setup and onboarding

Setup decides how fast your first real error shows up. Both tools got there in minutes once the keys were right, and only BugSnag had the right keys on the first try.

BugSnag: A wizard that starts with where your app runs

BugSnag's onboarding has four steps: Welcome, Create Project, Invite Collaborators and Integrate BugSnag. The first screen asks "Where does your application run?":

The choices are Mobile, Browser, Server, Desktop, TV and Console, and each one narrows the framework list that follows. I picked Server, then Express.

The integration page gave me npm install @bugsnag/js @bugsnag/plugin-express, then Bugsnag.start with the API key. It also showed where the pieces go: the request handler as the first middleware, and the error handler after your routes.

The same page says server performance "is fully compatible with OpenTelemetry SDKs". That matters later, because the SDK you just installed doesn't collect performance data.

The Express plugin also tracks a session for every request without extra code. That's what feeds BugSnag's stability scores.

Rollbar: Four short steps, then a token hunt

Rollbar's setup page, "Add the Rollbar SDK to your application", promises 5 minutes and four steps for Node.js 14 or later. You install rollbar, put ROLLBAR_ACCESS_TOKEN and ROLLBAR_ENVIRONMENT in .env, and create the client with captureUncaught, captureUnhandledRejections and a code_version.

The error handler goes last, after your routes, and rollbar.log('Hello world!') checks the connection.

On my brand-new project, those steps didn't work. The setup pages printed the access tokens of a project I had deleted, while the new project's Project access tokens page listed none.

No data arrived until I added two tokens by hand, one post_server_item and one post_client_item. Saved item filters also still pointed at the deleted project and read "Projects no longer available".

The SDK picker takes one SDK at a time:

Choosing Node.js hides the browser snippet, and you reach it only through "Select different SDK", even though one project accepts both.

Two more details are worth knowing before you copy the snippets:

• The Replays setup page suggests npm install rollbar@3.0.0-rc.1. That's older than the 4.1.0 release I used, where import Rollbar from 'rollbar/replay' worked.
• The suggested way to attach a user is client-wide. rollbar.configure({ payload: { person } }) sets the person on the whole client, so concurrent server requests could overwrite each other's user. My adapter attached the person per request through req.rollbar_person instead.

Setup comparison

Verdict: BugSnag. Its wizard worked the first time. Rollbar's stale tokens cost me a round of debugging before a single error arrived.

Error capture

Both tools caught every server bug I seeded, and both turned six bugs into six groups. The difference is how much each row tells you about the error's severity.

BugSnag: Handled and unhandled on every row

BugSnag's inbox listed one error per bug:

Look at the colored dot and badge on each row. The out-of-stock error and the sales report job are marked handled, and the crashes are marked unhandled, so you can tell which errors your code reported on purpose.

These were the counts after the first traffic run:

The sidebar adds saved views such as Introduced Today, For review, Assigned to me, Snoozed and Ignored.

The unhandled promise rejection came through with a single frame:

The one frame, server.js:144:9 loadRecommendations, is enough to find the line, and the badge correctly says unhandled.

Rollbar: Both sides in one list, with levels in place of badges

Rollbar took the server and browser SDKs in one project, and its Items list showed 11 items:

Six rows come from Node.js in development and five from the browser in production, and the browser rows carry a replay icon. Errors the storefront caught itself are listed too, because rollbar.error reports them.

The broken cover image, a 404 on an image file, didn't create an item.

Rollbar doesn't badge handled and unhandled errors. Every item gets a level, and the handled out-of-stock error showed "error", the same as the crashes. The unhandled promise rejection fared worse:

The level picker at the top reads "Debug". The only sign that the rejection was never caught is an is_uncaught: true attribute in its parameters, and the message reads "for user anonymous" because the item carries no request or person.

If your team filters by level, a real crash like this one sinks below handled warnings. You can change an item's level by hand, but the default misleads.

One count stood out. In one Rollbar run, the rejection arrived once, against six times in BugSnag's run. The runs were separate, so I can't tell whether the SDK dropped events or the traffic varied.

Error capture comparison

Verdict: BugSnag. Both caught the server bugs, but BugSnag's handled and unhandled badges are the more useful default. Rollbar's debug-level rejection is a trap for anyone who filters by level.

Debugging an error

Once an error arrives, you need to know where it broke, who hit it and what happened just before. The two tools split that work differently.

Stack traces and source maps

Neither tool showed source code for server frames. BugSnag listed the frames, starting at server.js:38:45 for the missing-book crash, with a "Raw view" toggle:

Both point at the right line, and both leave the code itself to your editor.

Rollbar's server trace showed one project frame, with anonymous handlers as <unknown>, and "9 non-project frames" collapsed below it.

In the browser, Rollbar did show source. After I uploaded the storefront's source maps with a script, since Rollbar can't fetch them from localhost, the wishlist error mapped back to the original file:

The frame reads bookDetail(../../src/pages.js:122:13) with wishlist.items.push(book.id); highlighted, and the "Session replay & telemetry" panel sits on the same page. BugSnag's browser source maps weren't part of my test.

BugSnag: Who hit the error, and what else went wrong for them

BugSnag gives the affected user their own tab on every event:

carol@example.com appears as both email and ID, because that's what my adapter sent.

Next to it, the Correlated events tab lists the other events from the same user and session:

Opened from carol's coupon error, the tab listed her out-of-stock errors from the same visit. When a customer writes in to say checkout is broken, you can see everything else that failed for them without writing a search.

Handled errors keep the data your code attached in a labelled tab:

The DETAILS tab shows bookId 7, email alice@example.com and quantity 1 as separate fields, so you don't dig through a raw payload.

The event page also has tabs for App, Device, Request and Trace. The Trace tab needs OpenTelemetry data, which I didn't send.

Rollbar: Replay the request, then see what's typical

Rollbar's item page rebuilds the failing request as a command you can run:

Copy it, point it at your local server, and you reproduce bob's failed checkout with his headers and the FREEBOOKS coupon in the body. For a server bug, that's often the fastest route from a report to a fix, and I haven't seen it in another error tracker.

The parameters table adds a Typicality column, which shows how common each value is across all occurrences of the item:

On the handled out-of-stock error, the custom fields score 74% for bookId and 26% for email. A value close to 100% appears in nearly every occurrence, while a rare one stands out as a lead.

The table also holds the request body, headers, person, server host, process ID and code_version. A Summary tab breaks each value down further, but it's a paid feature after the trial.

Rollbar keeps a People page per project, with a timeline of each person's occurrences. In my setup, it didn't join the browser and the server:

bob appears twice: in development with 6 items and 32 occurrences, and in production with 5 items and 39. That follows from my app's environment split, but it means one customer's story lives on two pages. The People page also opens on "Project: None" until you pick one.

Breadcrumbs and telemetry

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 bookId 3, its title and stock 25, and nothing from other requests gets in the way.

Rollbar's server equivalent is telemetry: 100 events of console lines and HTTP calls. On the server, the SDK holds a single process-wide queue:

Bob's coupon error shows carol's and alice's orders and other requests' price calls in the same list, along with Rollbar's own POSTs to api.rollbar.com and raw ANSI color codes from the console.

The pattern held on a later error. On alice's payment error, the telemetry mentioned alice 8 times, bob 6 times and carol 5 times. In the browser this isn't a problem, because one tab serves one user.

Connecting browser errors to the server

A failed checkout produced two Rollbar items: the browser's ApiError POST /checkout 500 and the server's coupon TypeError. Nothing linked them, since Rollbar has no distributed tracing.

The Related tab is the closest thing:

It lists "Similar items, based on item titles", here the other browser ApiErrors, and it's paid after the trial. I didn't run BugSnag's browser SDK, so I can't say how it would link the two sides.

Debugging comparison

Verdict: Mixed. Rollbar's curl replay and typicality are excellent for reproducing a server bug. BugSnag's user tab, correlated events and request-scoped breadcrumbs make it easier to understand what happened to one customer.

Rollbar's server telemetry mixed three shoppers into one list, BugSnag's Trace tab stays empty without OpenTelemetry, and neither tool keeps logs. I ran the same errors through Better Stack, which starts from the exception and branches out. Its "View related" menu opens the logs, spans, release and even the browser replays for that one request:

The menu reaches from a backend error to the storefront session that caused it, which is the link neither BugSnag nor Rollbar gave me. Choosing "View logs" opened Live tail filtered by the exception's trace ID:

Only that request's lines appear, including ERROR POST /checkout failed and the slow-query warning, so there's no other shopper's noise to sort through. The stack trace also showed the source code around the failing server line, which both tools left out.

Jump from any error to the logs behind it

Error grouping

Grouping decides how many issues land in your list. Get it wrong one way and different bugs hide in one group; get it wrong the other way and one bug fills the list with duplicates.

At 1.0.0, both kept six bugs apart

The missing-book crash and the coupon crash are both a TypeError about reading a property of undefined. Both tools kept them apart, because they come from different routes.

BugSnag labels each row "Default grouping", and the project settings let you switch the rule:

The settings offer "Group by error class" and "Group by error context", next to the integrations covered later in this article.

Rollbar grouped correctly too, with one oddity in the title. Its out-of-stock item collected every book under the first book's title, "Observability Engineering", including occurrences for "The Phoenix Project". The grouping is right, but the title can send you to the wrong book.

Rollbar after the code changed in 1.2.0

The bad release changed what happened before each bug ran, and Rollbar's default grouping didn't hold up. After the 1.2.0 traffic, the Items list held several new items for old bugs:

New rows sit next to the original ones for the same bugs, without any hint that they repeat existing items. This is how the bugs were spread:

The likely cause is Rollbar's default fingerprint, which includes the framework frames under your code. In 1.2.0, checkout waits on slow queries before the bug runs, so how much of the Express stack survives varies from request to request. Each variant became a new item.

The version page shows the effect:

"New (5)" mixes the one truly new error with repeats of old bugs, so the tab you'd check first after a bad deploy overstates the damage. Rollbar's fixes are Custom fingerprinting in project settings, or Merge by hand.

BugSnag wasn't run through that release

I didn't take BugSnag through 1.2.0, so I can't say whether its default grouping would have held. Don't read the Rollbar result as a BugSnag win. It's a reason to set up custom fingerprinting in Rollbar before a large refactor.

Error grouping comparison

Verdict: Tie. Both grouped correctly on the release I ran through both tools. Rollbar's 1.2.0 duplicates are a Rollbar-only result, and they tell you to tune its fingerprinting early.

Session replay and real user monitoring

Session replay captures a user's browser activity leading up to an error, while real user monitoring tracks page load speed as that user experiences it. Rollbar has the first, and neither has the second.

Rollbar: Replays attached to the error

Rollbar records browser sessions and shows the replay on the item itself, in the "Session replay & telemetry" panel:

You can change playback speed or skip idle stretches, and a side list records every page change, every click with its CSS selector, and every network call with status and timing.

Other Rollbar errors from the same visit show up in that list as links:

The entry #1 ApiError GET /orders/tracking 404 jumps to that item, which is the closest Rollbar gets to joining events from one visit.

A Replays page lists every recording:

Each row shows the starting URL, occurrences, browser, OS, person, start time, duration, environment and trigger. My recordings ran 0 to 15 seconds because the headless shoppers move fast. Every account gets 1,000 free replays a month, according to Rollbar's setup page.

Rollbar has no RUM. The slow book page produced no page-load timings or Web Vitals.

BugSnag: No replay product, browser SDK not tested

BugSnag doesn't list session replay among its features. According to its docs, its browser SDK records breadcrumbs for clicks, navigation and requests, but you can't watch the session.

Its performance product includes a Page Loads view. In my setup it was empty, along with the other performance views, because no OpenTelemetry data was sent.

Session replay and RUM comparison

Verdict: Rollbar. Replay is the largest feature BugSnag doesn't have, and Rollbar puts it on the error where you need it.

Rollbar's replay stops at the browser, and neither tool measured how fast my pages loaded. I ran the same storefront through Better Stack, where one session timeline held 30 frontend spans and the 7 backend spans behind them:

The Backend row sits under the clicks and API calls that triggered it, so you move from what the shopper did to what the server did without matching items by hand. I then asked its RUM Insights box which route was slowest:

It ranked /#/orders slowest at an LCP p75 of 1948 ms and traced the delay to a starved Express event loop, correctly naming the CPU-heavy search, where 191 of 191 requests took over a second. It wasn't perfect: it called the slow price lookup a handler problem when it was waiting on the upstream service, and the answer cost $0.62.

See sessions, Web Vitals and backend traces together

Release tracking and regressions

Release tracking answers two questions after a deploy. Is this version healthy, and did a bug I fixed come back?

BugSnag: Stability scores straight from the SDK

BugSnag reads the version from appVersion in the SDK and counts sessions automatically. I never sent a deploy or build call. The overview leads with the score:

Session stability reads 83.103% and "Critical stability" for the 30-day window, measured against BugSnag's default 99% target and 90% critical line. Since my bookstore breaks on purpose, expect a poor score here.

The Releases page puts both versions side by side:

The page also notes "11 minutes between releases". The value is in watching that score move from one version to the next.

Each release has its own page:

The 1.1.0 page shows 298 sessions, 24-hour adoption of 50.68% and, with the Unhandled filter on, the errors seen in that version. It also offers "Configure source control links".

Below that, "Errors introduced" lists what's new in the release:

It reads "No errors matching your filters", which is correct, since 1.1.0 shipped no new bug.

Rollbar: Versions from the SDK, deploys from the API

Rollbar builds version pages from the code_version your SDK sends. Deploys are a separate record that you report through its API or CLI. Until you do, deploy markers, the suspected deploy and deploy-triggered rules have nothing to work with.

I reported 1.1.0 with a POST /api/1/deploy call, and it showed up as a row inside the Items list:

The row reads "stanley deployed monitoring-lab to development, revision 1.1.0", so you can see which errors arrived before and after the release.

The deploy has its own page:

It shows status Success, start and finish times, environment, revision and who deployed. "Changes since previous deploy" stays empty until you connect source control.

When a fixed bug comes back

For the regression test, I marked the coupon error as fixed in each tool and shipped 1.1.0 without touching the bug. Both tools reopened that error and nothing else.

BugSnag ties "Mark as fixed" to the version automatically. The dialog takes only an optional Markdown comment, and the error's activity log explains what happened next:

It reads "Fixed by Stanley Ulili, Until this error occurs again in a new version", then "Reopened by BugSnag, This error occurred in 1.1.0". BugSnag reopens only when the error appears in a newer version, so late traffic on the old one doesn't trigger a false alarm.

The error page shows how the events split by release:

The button is back to "Mark as fixed", and the Releases summary puts 51.9% of the 27 events, 14 of them, on 1.1.0.

The inbox is less helpful:

The coupon row carries no reopened or regressed badge, and the sidebar just reads Open (6) and Fixed (0). You'd have to open the error to know it came back.

Rollbar's Resolve dropdown asks for a version and a comment:

I entered 1.1.0 and "Coupon lookup fixed in 1.1.0". During a false start, my app kept running 1.0.0, and Rollbar kept the item resolved while 11 more 1.0.0 events arrived. Like BugSnag, it ignores older versions.

Once 1.1.0 was really running, the item page told the full story:

Next to "Reactivated version: 1.1.0" and "Occurrences since last reactivated: 9", the page names "Suspected deploy: 45859437" and links to it. Neither BugSnag's error page nor its activity log names a deploy.

Rollbar's list, like BugSnag's, doesn't flag the comeback:

The coupon row just turns active. The "New / Reactivated" filter works by timeframe, so over the last hour or seven days every item in my test counted as new.

The version page is where Rollbar pulls ahead:

Its tabs read New (0), Reactivated (1), Still active (4), Resolved (1) and Commits (0), and the Reactivated tab holds the coupon error. BugSnag's release page has "Errors introduced", but no tab for errors that came back.

Cleaning up after a release

Both tools can mark errors as fixed when a new release ships. In Rollbar, "Auto-resolve on deploy" is set per environment:

I turned it on for development only, then reported the 1.2.0 deploy. One deploy resolved every server item at once:

That includes bugs that never got a fix, such as the missing-book crash and the 503 from the price service. The browser items stayed active because they report "production". The "2 deploys" row exists because I reported 1.2.0 once before turning the setting on.

You get a clean slate for each release, and real bugs disappear until they fire again. In my run, the 1.2.0 version page caught three of them coming back under Reactivated.

BugSnag has the same idea under "Workflow automation: Mark errors as fixed after each release". It's disabled by default, and I didn't enable it.

Tying a new error to a bad release

The 1.2.0 payment error was new, and Rollbar linked it to the deploy right away:

"Suspected deploy: 45860037" and "First version 1.2.0" are the fastest roll-back signal I've seen in an error tracker. BugSnag's place for this would be the "Errors introduced" list on the release page, which I only saw empty, since BugSnag didn't run 1.2.0.

Release tracking comparison

Verdict: Mixed. BugSnag wins on release health, since stability scores come with the SDK and need no deploy calls. Rollbar wins on tracing a problem to a deploy, as long as you report deploys.

Both tools reopened the coupon error and then left it looking like every other open row, and Rollbar's default grouping turned old bugs into new items after 1.2.0. I ran the same releases through Better Stack, which put the comeback in the list itself with a red "Reoccurred" status in place of "Unresolved":

You spot the regression without opening anything, and the release came from the SDK, with no deploy API to call. Grouping also held through the bad release:

The payment error stayed one error with 10 exceptions despite a different amount in every message, and the coupon error remained a single error through all three releases, where Rollbar had three items. It has no Reactivated tab or suspected deploy, so Rollbar still names the deploy faster.

Catch regressions in the error list itself

Performance monitoring

Release 1.2.0 made every checkout take 3 to 5 seconds, without a single new exception from the slow part. Catching that needs a tool that times requests.

Rollbar: No performance product

Rollbar can't time requests, rank slow endpoints or trace a request across services. No page in Rollbar showed the slowdown.

My app writes a warning whenever a query runs slow, but Rollbar has no logs product, so the adapter only printed those warnings to the console. They turned up as console lines in an item's telemetry, mixed in with every other request.

BugSnag: Performance through OpenTelemetry, not tested

BugSnag has a performance product, but you bring OpenTelemetry to feed it:

Page Loads, Inbound Requests, Outbound Requests and Custom Spans all stayed empty, under "Enable BugSnag performance monitoring by installing the OpenTelemetry SDK".

The Releases page has a "Compare release performance" option, greyed out without that data. The overview also flagged two built-in performance monitors, "App starts" and "Core network endpoints", as "Alerting", even though no spans had arrived.

I didn't set up OpenTelemetry, so I can't judge BugSnag's results.

Performance comparison

Verdict: BugSnag on availability. It offers performance monitoring and Rollbar doesn't. Plan for an OpenTelemetry rollout to get it, and remember I didn't test it.

Rollbar can't see a slow request, and BugSnag needs a separate OpenTelemetry setup before it can. I ran the bad release through Better Stack, which traced my app through the Sentry SDK the backend already used, and the slow checkout was one click from its error:

The 2.19 s checkout spent 1.53 s in SELECT book for checkout and 660 ms in the new "charge card" step, so both 1.2.0 problems sit on one request. The full waterfall makes the gap obvious:

The middleware bars barely register next to the query. One rough edge: no service name is set by the Sentry SDK, which left the Service column blank.

Trace slow requests next to your errors

Logs, search and queries

Neither tool stores application logs. Both let you search your errors, and Rollbar adds a query language for asking new questions.

BugSnag: Structured filter chips

BugSnag's search builds filters as chips. userEmail:bob@example.com with status:open returned two errors:

The coupon error shows 3 of bob's events and the out-of-stock error 4. Each filter is a chip you can edit or remove, so it's hard to get the syntax wrong.

Rollbar: Search syntax plus RQL

Rollbar's search box takes a query syntax, and it's less forgiving. person.email: returned nothing, while the documented form, email:"bob@example.com", found the same two errors. Searches default to prefix matching.

Rollbar's bigger asset is RQL, an SQL-like language over every occurrence:

A SELECT ... GROUP BY item.counter, item.title query returned a count per item, and RQL enforces GROUP BY rules the way SQL does. You can download the results as CSV, use templates or read them through a Metrics API tab, and an AI assistant sits in the editor, which I didn't use.

Like the People page, RQL opens on "Project: None". Rollbar's pricing page lists it on the Advanced plan.

What about logs?

BugSnag has no logs product. Rollbar's telemetry attaches console lines to each occurrence, which helped me spot the slow-query warnings, but you can't search or chart those lines as logs. For either tool, you'd need a separate log store.

Logs and queries comparison

Verdict: Rollbar. BugSnag's chips are friendlier for everyday filtering. RQL lets you ask your error data questions that BugSnag can only answer with its built-in summaries.

Alerts, triage and uptime

Once errors pile up, you need ways to park the noisy ones and hear about the ones that grow. Both tools cover assign, resolve, ignore and comments, and Rollbar adds Merge and a level picker.

BugSnag: Snooze until the error gets worse

BugSnag's Snooze waits for a condition:

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.

BugSnag's integrations cover email, Slack and Datadog for team notifications, Jira and Trello for issues, PagerDuty for incidents, and webhooks and Splunk for data forwarding. Each error's sidebar has "Create or link an issue".

Rollbar: Snooze by time, alert on almost anything

Rollbar's Snooze takes a 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's default alerting is much bigger. Email starts with 11 rules, including the 10^nth occurrence, a high occurrence rate of 10 in 5 minutes, new items, reactivated items and new versions.

Its channels include Slack, Jira, GitHub, GitLab, PagerDuty, Opsgenie, VictorOps, Datadog and webhooks.

Uptime and status pages

Neither tool offers uptime checks or status pages, so you'd need another product to know when the app is down. I also didn't test alert delivery in either tool.

Alerts and triage comparison

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.

AI-assisted debugging

Both tools offer AI help, and I ran neither, so this section describes what each offers. It isn't a head-to-head.

BugSnag: Fix with MCP

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:

The dialog reads "The MCP Server has not been used by you for this project" and offers to install it. I cancelled, so I can't say what the assistant would have found.

Rollbar: Analyze root cause

Rollbar has a built-in "Analyze root cause" button. Its Root Cause Analysis spends AI credits, and according to its docs, a beta follow-up called Resolve can draft the fix as a pull request.

On my trial, the Root cause & fix tab asked me to "Connect all GitHub repos" before it would run, with 0 of 15,000 credits used. Rollbar's docs put a typical analysis at 500 to 700 credits.

AI comparison

Verdict: No winner. Rollbar's analysis lives in the product, and BugSnag hands the work to your editor's assistant. Try each on your own errors before you let AI decide.

Rollbar's AI wanted GitHub and credits before it would start, and BugSnag's wanted an MCP server installed. I gave the bad release to Better Stack's AI SRE with no repository connected and nothing to install, and asked what changed since 1.1.0:

It pulled releases, errors, traces and logs together and found the checkout query's median jumping from 0.13 ms to 2.6 s, with the rest of the statements holding around 0.1 ms. Then it found the new step:

It matched 10 failed "charge card" calls out of 48 to the new payment error and recommended a rollback, in about four minutes at a displayed cost of $0.49. Without the repository, it read the deliberate every-fifth-payment failure as a timeout set too short, so treat it as one strong test result.

Investigate your next bad release with AI SRE

Pricing

These prices come from each vendor's pricing page on October 23, 2026. Plans and quotas move often, so confirm them on each site before buying.

Free plans and trials

BugSnag's trial ran two plans at once:

Error monitoring and performance are billed as separate plans, which is worth knowing before the trial ends. Rollbar's trial drops to the Free plan automatically after 15 days.

Entry-level paid plans

BugSnag's pricing page shows "starting at $0" next to a volume slider, with no fixed figure for either paid plan. You'll need to set your volume or ask sales to get a number.

What costs extra

Comparing the actual cost

Rollbar's prices are easier to read, its free plan has no seat limit, and replay comes included. BugSnag's free plan is for one person and keeps data for seven days, so last week's errors are already gone by the time you look.

Neither price is the whole bill. With either tool, you'd still pay for logs and uptime monitoring elsewhere, and with Rollbar you'd also need a separate product for performance.

BugSnag's span allowance looks like a saving until you count the OpenTelemetry rollout it depends on. If you'd rather buy one product for errors, logs and uptime, our look at Rollbar next to an all-in-one platform covers that trade.

Verdict: Rollbar. You can see what you'll pay before you talk to anyone, and the free plan works for a whole team.

Full feature comparison

This table combines everything I observed in the test.

Which should you choose?

The choice depends on the question you ask most often after you ship.

Choose BugSnag if you care about release health and a calm backlog

BugSnag gives every release a stability score without a single deploy call, because the Express plugin counts sessions for you. Its handled and unhandled badges, request-scoped breadcrumbs and Correlated events make each error easier to read, and snoozing by impact keeps the backlog quiet without hiding growth.

It suits teams that track crash-free rates per version, and teams ready to adopt OpenTelemetry for performance.

The trade-offs are real. There's no session replay, the free plan covers one person for seven days, and you can't read a paid price off the page.

I also didn't test its browser SDK, its performance product or its MCP workflow, so try those on your own app before you count on them. The same strengths showed up against a much larger platform in our Sentry vs BugSnag test.

Choose Rollbar if you want to reproduce bugs and blame the right deploy

Rollbar gives you more tools per error: the curl replay, the Typicality column, browser session replay and RQL. When a bug returns or a new one ships, the suspected deploy and the version page's Reactivated tab point you at the release to roll back.

Its prices are published, and the free plan has unlimited users and 1,000 replays a month.

Plan some setup work. Check your access tokens on a new project, set item levels and custom fingerprinting before a big refactor, and report deploys, or the deploy features stay empty.

Rollbar also has no performance monitoring at all. How much that hurts on a slow release is the core of our Sentry vs Rollbar comparison.

Final thoughts

You're choosing which question gets answered first after a release. BugSnag tells you whether a version is healthy and keeps your inbox readable while you work. Rollbar tells you which deploy to blame and hands you the command to reproduce the failure.

Both tools give you strong answers about errors, and both went quiet about speed. My last release made checkout seconds slower, and neither tool noticed.

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