Raygun
How the 9 leading AI models rank Raygun in error monitoring tools.
How each AI ranks it
average position · verbatim answers kept
ChatGPTread the answer10th
Short answer
If you want the safe default, pick Sentry. It’s the most common “developer-first” error monitoring choice for web apps, APIs, and modern full-stack products. If you’re already paying for a broader observability suite, use Datadog Error Tracking or New Relic Errors Inbox. If you’re mobile-heavy, shortlist Firebase Crashlytics and Bugsnag. Popular error-tracking tools named in developer/tooling directories include Sentry, Rollbar, Bugsnag, Crashlytics, and TrackJS, while Sentry also reports very broad adoption across millions of developers and hundreds of thousands of organizations. (stackshare.io)
| Rank | Tool | Best for | Why people use it |
|---|---|---|---|
| 1 | Sentry | Best overall error monitoring for most dev teams | Strong SDK coverage, stack traces, issue grouping, releases, performance tracing, session replay, good developer UX. Sentry positions itself as developer-first error tracking + performance monitoring. (getsentry-sentry.mintlify.app) |
| 2 | Datadog Error Tracking | Companies already using Datadog for infra/APM/logs/RUM | Great when you want errors correlated with logs, traces, RUM, infra, dashboards, and alerting in one enterprise observability platform. Datadog says Error Tracking groups similar errors and correlates them with logs, traces, and RUM events; Datadog reported about 32,700 customers at the end of 2025. (datadoghq.com) |
| 3 | New Relic Errors Inbox | Teams already standardized on New Relic | Good all-in-one observability option. Errors Inbox groups errors across APM, browser/RUM, mobile, workloads, serverless, and OpenTelemetry data. (docs.newrelic.com) |
| 4 | Bugsnag / SmartBear BugSnag | Mobile apps and release stability tracking | Particularly strong for mobile/app stability workflows: release dashboards, stability scores, affected users, app versions, and whether a release should be promoted or rolled back. BugSnag also publicly highlights customers such as Amazon, Netflix, Shopify, Coinbase, Sony, Salesforce, and Yelp. (docs.bugsnag.com) |
| 5 | Rollbar | Straightforward error tracking and triage | A long-running Sentry alternative focused on real-time error monitoring, intelligent grouping, stack traces, deploy/version tracking, alerts, and now session replay/AI-assisted workflows. (rollbar.com) |
| 6 | Firebase Crashlytics | Native mobile, especially Android/Firebase shops | Very common for mobile crash reporting. Google describes Crashlytics as a lightweight, real-time crash reporter for tracking, prioritizing, and fixing app stability issues, with support for non-fatal errors and Google Play integration for Android. (firebase.google.com) |
| 7 | Honeybadger | Small teams, Rails/Ruby/Laravel-style apps, indie SaaS | Simple exception monitoring plus uptime checks and cron/heartbeat monitoring in one product. Good if you don’t want a giant observability platform. (docs.honeybadger.io) |
| 8 | AppSignal | Rails, Elixir, Node, small-to-mid teams wanting simple APM + errors | Developer-friendly monitoring with error tracking, deploy tracking, performance monitoring, logs, metrics, uptime, and tracing. Often considered when Datadog/New Relic feel too heavy. (appsignal.com) |
| 9 | LogRocket | Frontend-heavy products where reproduction matters | Best when the problem is “what did the user actually do?” It combines session replay, console/network logs, errors, UX analytics, heatmaps, and product analytics. (docs.logrocket.com) |
| 10 | Raygun | Web/mobile crash reporting + real-user monitoring | Solid option for teams that want crash/error monitoring plus RUM/customer-experience monitoring in one focused product. (raygun.com) |
My practical recommendation
- Most startups / SaaS / web apps: use Sentry first.
- Enterprise already on Datadog: use Datadog Error Tracking; don’t add Sentry unless developers strongly prefer its workflow.
- Enterprise already on New Relic: use New Relic Errors Inbox.
- Mobile-first app: use Firebase Crashlytics if you’re in the Firebase/Google ecosystem; use Bugsnag if you want stronger release-stability workflows across mobile/web/backend.
- Small team that wants simple monitoring: use Honeybadger or AppSignal.
- Frontend UX/debugging is the pain: use LogRocket, possibly alongside Sentry or Datadog.
One extra tip: instrument with OpenTelemetry where possible so traces/logs/metrics remain portable across vendors; OpenTelemetry is vendor-neutral and designed to generate and export telemetry such as traces, metrics, and logs. (opentelemetry.io)
Claudenot ranked
Perplexityread the answer7th
The most widely recommended error monitoring tools are Sentry, Rollbar, Bugsnag, Datadog, Honeybadger, Airbrake, Raygun, and Better Stack. If you want the safest default pick, Sentry is the most common “best overall” recommendation across multiple recent rankings, while Rollbar and Bugsnag are strong alternatives for teams with more specific needs.
Here’s a practical shortlist of the tools people actually use most often:
| Tool | Best for | Why it stands out |
|---|---|---|
| Sentry | General-purpose app error tracking | Broad language/framework support, strong issue grouping, release tracking, and a commonly recommended free tier. |
| Rollbar | Deployment-aware error tracking | Strong for real-time alerting, error grouping, and CI/CD/deploy workflows. |
| Bugsnag | Mobile and release stability | Popular for mobile-first teams, with stability scoring and release health focus. |
| Datadog | Enterprise observability | Best when you want errors tied into metrics, traces, infra, and broader monitoring. |
| Honeybadger | Simple, focused error tracking | Often recommended for teams wanting straightforward error monitoring without a lot of extra complexity. |
| Airbrake | Lightweight error reporting | A simpler option for teams that want basic error and deploy tracking. |
| Raygun | User-impact and crash analytics | Good for tying crashes to user sessions and performance impact. |
| Better Stack | All-in-one monitoring | Strong if you want error tracking plus uptime/logs/incident response in one place. |
A few quick recommendations by use case:
- Best overall: Sentry.
- Best for deployment-heavy teams: Rollbar.
- Best for mobile apps: Bugsnag or Firebase Crashlytics.
- Best for enterprise observability: Datadog.
- Best for simple, no-fuss tracking: Honeybadger or Airbrake.
- Best for frontend debugging with session replay: LogRocket or Highlight.io.
If you want just one recommendation: choose Sentry unless you have a specific reason not to. It shows up most often as the top general-purpose pick, and the sources consistently describe it as the strongest all-around option for full-stack teams.
If you want, I can also give you:
- a “best by stack” list for JavaScript, Python, mobile, and enterprise,
- a free-tier comparison, or
- a Sentry vs Rollbar vs Bugsnag head-to-head.
DeepSeekread the answer8th
There’s no single “best” error monitor—it depends on your stack, budget, and whether you need full-stack APM or just frontend crash reporting. But these are the tools people actually use in production, ranked by popularity and real-world adoption.
Top Error Monitoring Tools
1. Sentry
The industry standard for error & exception tracking.
- Best for: Frontend, backend, mobile, and game dev.
- Why people use it: Open-source core, excellent integrations (React, Vue, Next.js, Python, Go, etc.), source maps, release tracking, and session replays.
- Pricing: Free tier + paid plans; self-hosted option available.
- Downside: Can get pricey at scale.
2. Bugsnag
Strong competitor, especially for product-focused teams.
- Best for: Web and mobile apps, full-stack error monitoring.
- Why people use it: Clear error grouping, stability scores, release health checks, and seamless integration with Slack, Jira, and CI/CD.
- Pricing: Free tier, then paid per volume.
- Downside: Less powerful than Sentry for deep debugging.
3. Datadog APM + Error Tracking
Best if you already use Datadog for infrastructure monitoring.
- Best for: Enterprise full-stack observability.
- Why people use it: Combines traces, logs, metrics, and error tracking in one platform. Works incredibly well for backend services.
- Pricing: Expensive; not ideal for small apps.
- Downside: Overkill if you only need crash reporting.
4. New Relic
APM heavyweight with error analytics built in.
- Best for: Backend performance monitoring + error tracking.
- Why people use it: Distributed tracing, alerting, and deep performance insights. Good for Java,.NET, Node, Python, etc.
- Pricing: Free tier available, paid plans are costly.
- Downside: UI can be overwhelming; frontend error tracking is weaker than Sentry.
5. Rollbar
Popular for smaller teams and freelancers.
- Best for: Fast setup with a simple dashboard.
- Why people use it: Telemetry (breadcrumbs), deploy tracking, and excellent GitHub/GitLab integration. Supports 40+ languages.
- Pricing: Generous free tier (5,000 events/month).
- Downside: Less advanced debugging features than Sentry.
6. LogRocket
A different kind of error monitoring—session replay + frontend errors.
- Best for: Understanding the exact user interaction before an error occurs.
- Why people use it: Records console logs, network requests, Redux state, and mouse clicks. Great for UX-related bugs.
- Pricing: Free tier + paid.
- Downside: Not a replacement for backend error monitoring.
7. Honeybadger
The no-hype, no-nonsense option.
- Best for: Small teams and indie developers.
- Why people use it: Simple, affordable, and effective. Good notification drip and uptime monitoring.
- Pricing: Very reasonable flat-rate plans.
- Downside: Fewer integrations than Sentry.
8. Raygun
Good for crash reporting + real-user monitoring.
- Best for: Windows desktop, Xamarin, and.NET-heavy stacks.
- Why people use it: Strong offline/desktop support and performance monitoring (RUM).
- Pricing: Paid only, 14-day trial.
- Downside: Cost can be high.
Which one should you choose?
- You want the most popular, feature-rich option: → Sentry
- You need full backend APM + error tracking: → Datadog or New Relic
- You want simple and affordable: → Honeybadger or Rollbar
- You need to see what users did before the bug: → LogRocket
- You’re on a.NET/Windows stack: → Raygun or Bugsnag
Open-source / self-hosted alternatives
- GlitchTip – Sentry-compatible API, lightweight, self-hostable.
- Sentry self-hosted – Free if you run it yourself.
- Errbit – Airbrake-compatible, older but works.
Bottom line: Most teams start with Sentry and never switch. If you need full-stack observability, pair it with Datadog or New Relic. If you want a simpler, cheaper tool, Rollbar or Honeybadger are solid choices.
Groknot ranked
Copilotnot ranked
Google AInot ranked
Google AI Modenot rankedSources AI cited for Raygun
Pages on raygun.com that AI models referenced in their answers about error monitoring tools. Receipts for the ranking, not an input to it.
How this is measured
Raygun’s AI Recommendation Score (21/100) reflects how widely and often the 9 AI models recommend it for error monitoring tools: share of voice, mention rate and how early the AI models name it. Cited sources are published as receipts, never as a score input. Every monthly refresh asks each AI model the same buyer question once, and the exact run count behind every edition is published in its JSON record. Placement is determined solely by AI recommendation data; it reflects what AI recommends and is not an endorsement by CiteHawk. Read the full methodology →
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Rankings are computed from AI responses only · Positions are not for sale