Raygun Alternative

Raygun catches the error. Atatus traces it to the source.

Raygun is great at catching errors. Atatus goes deeper — tracing them across your entire stack so you can fix what actually broke.

10+

Monitoring capabilities natively connected in one platform

40%

Faster incident resolution using correlated error + trace + log view

200+

Technologies, frameworks & integrations supported out of the box

4.8★

Rated on G2 & Capterra across verified customer reviews

24/7

Human support on every paid plan, including live production incidents

Why teams are switching

Raygun built a solid error and performance tool. Modern teams need the full picture.

Raygun's Crash Reporting, RUM, and APM cover a meaningful slice of observability. But when an incident spans a slow database query, a degraded microservice, an upstream log anomaly, and a real user's frustrating session, you need all of that correlated in a single view, not scattered across separate tools or absent entirely.

01 — Observability Depth

A trace is a starting point, not a conclusion

Raygun APM surfaces method-level trace breakdowns and links them to crash reports, useful, but the story stops there. When an error fires, you still have no native access to the surrounding log lines, the downstream service that timed out, or the database query that preceded the failure. Atatus auto-correlates error events, distributed traces, log context, and real user session data into one unified incident view, so you debug in one place from the first alert to the root cause.

02 — Platform Coverage

Three products still leave critical blind spots

Raygun's APM, Crash Reporting, and RUM are purpose-built for the application layer. That leaves no native log management, no infrastructure or host monitoring, no Kubernetes or container visibility, no distributed tracing across service hops, and no database query profiling outside of aggregate request timing. Teams running microservices or containerized workloads end up stitching Raygun together with Elastic, Datadog, or Grafana, and paying for that complexity in tooling cost and context switching during incidents.

03 — Language & Framework Reach

Raygun's APM has narrower runtime coverage

Raygun's APM agent has deep profiling capabilities for .NET, with additional support for Ruby and Node.js, making it an excellent fit for .NET environments. Atatus auto-instruments Node.js, PHP, Java, Python, Ruby, and .NET across both APM traces and error tracking with a single SDK installation. If your stack has grown beyond its original runtime, or spans multiple languages across microservices, Atatus surfaces the full picture without deploying separate agents per service.

Atatus is the right choice when you want to

Know exactly when switching from Raygun makes sense

Different teams face different challenges. Here are six areas where Atatus outperforms Raygun.

Correlate logs with errors automatically

When a Raygun crash report fires, your next move is opening a separate log tool and manually cross-referencing timestamps. In Atatus, the structured and unstructured log lines surrounding any error are already attached, no manual querying, no tab switching.

Trace requests across microservices

Raygun APM gives you method-level trace breakdowns within a single service. Atatus traces requests end-to-end across every service boundary in a distributed system — so when a checkout flow fails across three microservices, you see exactly which hop introduced the latency or the error.

Monitor infrastructure alongside your app

Raygun is intentionally scoped to the application layer — no server metrics, no container visibility, no Kubernetes cluster health. Atatus adds CPU, memory, disk, pod health, and Docker container stats into the same alerting and dashboard layer as your APM and error data, so you can tell whether a host failure preceded your application spike.

Profile slow database queries specifically

Raygun APM shows time spent in database calls as part of the overall request breakdown. Atatus surfaces individual slow queries, N+1 query detection, query frequency, and connection pool health — so your team knows exactly which query is causing problems, not just that the database category was slow.

Replay exactly what the user experienced

Raygun RUM tracks Core Web Vitals including INP (added in 2024) and JS errors with browser context. Atatus adds session replay — a pixel-perfect recording of what the user saw and did before, during, and after an error — so you reproduce edge cases without asking the user to describe them step by step.

Meet compliance requirements across all plans

Atatus is SOC 2 Type II certified, ISO 27001 certified, and GDPR compliant across all customer tiers — not reserved for enterprise contracts. If your team operates in regulated industries or handles sensitive data, these certifications are table-stakes that Atatus covers without gating them behind an upgrade conversation.

Atatus vs Raygun

A category-by-category breakdown of what each platform actually covers.

Atatus

  • Full stack traces with user context, correlated APM trace and log state at the moment of the error

  • Grouped by root cause with affected user count, impacted URLs, and environment breakdown

  • Full breadcrumb trail for browser errors, linked to session replay

  • Surrounding log lines auto-attached to every error, no manual query needed

  • Every error cross-linked to the corresponding APM trace and active database queries

  • Device model, OS version, session replay alongside crash report

  • Source map upload supported with impacted session count per JS error

  • Intelligent error grouping and anomaly detection surfaced proactively

Raygun

  • Full stack traces with environment metadata and affected user count

  • Error groups sorted by type, message, and function with trend detection

  • Snapshot of events leading up to the error occurrence

  • Not available — requires a separate log tool and manual timestamp matching

  • Errors linkable to APM traces when both products are in use

  • Mobile crash reporting with device and OS context

  • Source map support with direct GitHub/Bitbucket/Azure Repos code linking

  • AI Error Resolution feature auto-prompts LLMs with stack trace + code context for fix suggestions

Customer Story

Atatus customer service is just amazing. I had tried other monitoring tools before and I can say Atatus leads in interface quality, support responsiveness, and the ability to drill down to the exact problem.

E

Daniel R.

Chief Technology Officer

40%

Faster incident response time for teams using Atatus correlated error + log + trace view

70%

Reduction in time spent switching between tools during active incidents

Improvement in deployment stability reported by teams using Atatus APM alongside error tracking

Questions teams ask before switching from raygun

These are the questions that come up on every sales call. Answered directly, without spin.

Atatus positions itself as a unified full-stack observability platform combining APM, error monitoring, logs, RUM, infrastructure monitoring, and synthetic checks in one place. Raygun primarily focuses on APM, crash reporting, and real user monitoring with strong code-level diagnostics and tracing.

Atatus is designed for full-stack visibility across frontend, backend, infrastructure, and logs within a single platform. Raygun provides performance monitoring and error tracking but typically relies on separate tools for deeper logging and infrastructure coverage.

Yes. Raygun offers APM with detailed code-level traces, request analysis, and performance diagnostics to help identify bottlenecks and optimize backend performance.

Both tools support stack traces and error tracking. Atatus emphasizes contextual error insights (user actions, requests, performance impact), while Raygun focuses on crash reporting and trace-based debugging workflows.

Raygun provides strong frontend performance visibility with session data, page load analysis, and resource waterfalls. Atatus offers RUM combined with backend traces and logs for end-to-end visibility across the user journey.

Raygun pricing typically scales based on events such as errors, sessions, or traces, which can increase costs with traffic spikes. Atatus focuses on more consolidated monitoring pricing aligned to full-stack observability usage.

User reviews indicate Atatus performs strongly in support quality and data retention features, while Raygun excels in real-time monitoring and multi-system visibility.

Yes. Atatus integrates log management alongside APM, error tracking, and RUM for centralized analysis. Raygun does not provide a native log management platform

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