The Best Error Tracking Software in 2026 (Tested and Ranked)

Sentry: the default that earns it

Sentry is the tool most teams reach for first, and after years of using it I still think that's the right instinct for the majority. It catches exceptions across more than 100 languages and frameworks, groups them intelligently, and shows you the stack trace, the breadcrumbs leading up to the crash, and the exact release that introduced the regression. Session Replay lets you watch the user's session that triggered the error, which turns "cannot reproduce" tickets into a 30-second fix.

Best for: full-stack teams that want one tool covering frontend, backend, and mobile without stitching SDKs together.

Pricing: the free Developer tier covers 5,000 errors a month for a single user. The Team plan is $26/month billed annually and includes 50k errors plus unlimited team members and projects. Business runs $80/month with custom dashboards and metric monitors. Extra errors bill at roughly $0.00052 each.

The standout: the SDK ecosystem. Whatever you're running, Sentry probably has a first-party SDK with sensible defaults, and the release-tracking integration that ties an error back to a specific deploy and commit is genuinely useful when you ship multiple times a day.

The catch: Sentry's pricing scales across several meters at once. Errors, performance transactions, replays, and attachments each have their own quota, and a busy app can blow past the Team plan's allowances faster than you'd expect. Read the metered breakdown before you commit, because the $26 headline is rarely what a real team pays.

PostHog: error tracking you might already have

PostHog started as a product analytics platform and kept absorbing adjacent tools: feature flags, session replay, A/B testing, and now error tracking. If you already pipe events into PostHog, turning on error tracking is close to free, and that bundling is the entire pitch.

Best for: product and growth teams that already run PostHog for analytics and want to stop paying a second vendor for exceptions.

Pricing: the free plan includes 100,000 exception events a month, the most generous free tier in this roundup by a wide margin. After that it's usage-based per $exception event, and you can set hard billing limits so a traffic spike never produces a surprise invoice. PostHog reports that more than 90% of its companies stay on the free tier across all products.

The standout: correlation. Because the same platform holds your analytics and your errors, you can see which exceptions actually hurt conversion instead of triaging crashes in a vacuum. An error that fires on a marketing page nobody converts on matters less than one on your signup form, and PostHog can show you the difference.

Where it falls short: PostHog's error tracking is newer than Sentry's, and the language SDK coverage and grouping logic are less mature. If exception monitoring is the only thing you need and you want the deepest tooling, a focused product still wins. As a free add-on to analytics you already run, though, it's hard to argue with.

Rollbar: built for teams that ship constantly

Rollbar has always pitched itself at teams that deploy often and want errors tied tightly to their release pipeline. Its deploy tracking and CI/CD integrations are first-class, so when an error spikes you can see immediately which release caused it and roll back with confidence.

Best for: teams with a high deploy cadence who want every error linked to a commit and a deploy out of the box.

Pricing: the free tier covers 5,000 occurrences and 1,000 replays a month. The paid Essentials plan is usage-based on occurrence credits rather than a flat seat price, with Advanced and Enterprise above it. Rollbar leans on a "no surprise bills" model: you can cap at your plan limit, enable on-demand overage, or set custom rate limits.

The standout: grouping. Rollbar is more aggressive than Sentry about consolidating similar errors into one item, which means a noisy crash loop shows up as a single fingerprint instead of 4,000 line items. For on-call engineers, less noise is the whole game.

The catch: that same aggressive grouping occasionally hides variations you'd actually want to see separately, and the opaque credit-based pricing makes it harder to predict your bill than Sentry's per-error meter. You'll want to model your real volume before signing.

If you want a soft pause here: if you run a newsletter or content brand alongside your product, Dupple X is how a lot of the tech teams in our audience keep their growth stack lean. Back to the tools.

Honeybadger: the small-team bundle

Honeybadger is the answer for small SaaS teams that don't want to run three monitoring vendors. It combines error tracking, uptime monitoring, and cron job checks in one product, so a two-person team gets exception alerts, downtime alerts, and "did the nightly job run" alerts from a single dashboard.

Best for: bootstrapped and small B2B SaaS teams that value a tidy bundle over best-in-class depth in any one category.

Pricing: there's a free developer plan, and paid plans start at $26/month with team features kicking in higher up. Overage on Team plans runs $0.0003 per notification beyond your quota. Every plan comes with a 30-day trial and no credit card required. Error monitoring covers Ruby, JS, Node, Go, Elixir, Python, PHP, Java, and more.

The standout: simplicity and price predictability. Honeybadger has a reputation for clear billing and a support team that actually answers, which matters more than it sounds when you're a tiny team picking infrastructure you'll live with for years.

Where it falls short: the SDK breadth and integrations don't match Sentry's, and large teams with heavy mobile or performance needs will outgrow it. It's deliberately scoped for smaller shops, and it's excellent at that.

Bugsnag (Insight Hub): the mobile specialist

Bugsnag, now folded into SmartBear's Insight Hub, is the one I reach for when mobile crash reporting is the priority. It handles iOS and Android symbolication, ProGuard mapping, and crash-free session metrics natively, which is exactly the stuff that makes mobile error tracking painful elsewhere.

Best for: mobile-first teams and anyone who lives or dies by a crash-free session rate.

Pricing: the free tier covers 7,500 events a month. Paid plans start around $59/month and scale with event volume, with the Standard tier landing closer to $99/month for 25,000 events depending on contract. Pricing is event-based rather than seat-based.

The standout: crash-free session and user metrics. Bugsnag's stability scores give you a single number to track release health, and product teams can gate a rollout on it. For consumer mobile apps that's a genuinely better mental model than raw error counts.

The catch: since the SmartBear acquisition and the Insight Hub rebrand, the product has broadened into full observability, and some longtime users feel the focused crash-reporting tool got busier. The free tier is also stingier than PostHog's or Sentry's. If you're not mobile-heavy, the value proposition thins out.

GlitchTip: open source and Sentry-compatible

GlitchTip is the pick for teams that want Sentry's developer experience without Sentry's bill, or that need to keep error data on their own infrastructure for compliance reasons. It speaks the same SDK wire protocol as Sentry, so you keep the Sentry client libraries you already use and just point them at your own server.

Best for: cost-conscious teams comfortable running their own infrastructure, and EU teams with data-residency requirements.

Pricing: self-hosting is free with no caps on events, users, or projects, you just pay for the server. The managed cloud starts at $15/month, with a free cloud tier capped at 1,000 events a month and discounted $5/month plans for non-profits and open-source projects.

The standout: the migration cost is close to zero. Because GlitchTip is SDK-compatible with Sentry, moving over is mostly a config change, not a rewrite. That's a rare thing in this category.

Where it falls short: GlitchTip is intentionally lean. You don't get session replay, deep performance monitoring, or the polish of a venture-funded UI. Self-hosting also means you own the uptime of your error tracker, which is its own small irony when it goes down at 2am.

SigNoz: errors as part of full observability

SigNoz belongs on this list because error tracking on its own is increasingly a slice of a bigger picture. SigNoz is OpenTelemetry-native and correlates errors with logs, traces, and metrics in one open-source platform, so when an exception fires you can jump straight to the trace that produced it.

Best for: teams that want errors, logs, traces, and metrics in one tool and don't want per-host or per-seat pricing.

Pricing: the Community edition is free to self-host. SigNoz Cloud Teams starts at $49/month including usage, then bills $0.30/GB for logs and traces and $0.10 per million metric samples. There's a 30-day trial. Notably, there are no per-user or per-host charges, which is what makes it attractive against Datadog.

The standout: correlation across signals without paying Datadog prices. Clicking from an error to its distributed trace to the surrounding logs, in one UI, is the workflow that justifies a unified platform.

The catch: this is observability, not focused error tracking. If all you want is clean exception alerts, SigNoz is more than you need, and the self-hosted route carries real operational overhead. For teams already drowning in disconnected tools, that trade can be worth it.

Datadog Error Tracking: if you're already there

Datadog Error Tracking is the obvious choice if your team already lives in Datadog. It groups errors from your logs, APM, and RUM data into issues, so you're not adding a new vendor, just switching on a feature next to dashboards your team already checks.

Best for: organizations already standardized on Datadog who want errors in the same pane as everything else.

Pricing: Error Tracking is billed separately from core Datadog products at roughly $25/month for 50,000 errors, or about $36 on-demand. That's on top of whatever you already pay for infrastructure, APM, and logs.

The standout: zero new tooling. The correlation with your existing traces and infrastructure metrics is tight because it's all the same platform.

Where it falls short: Datadog only makes sense if you're already paying for Datadog, and its billing has a well-earned reputation for surprising teams. As a standalone error tracker it's expensive and overkill. As one more module on an existing bill, it's convenient.