LogRocket tells you what the user clicked. Atatus tells you what broke, where, and why across your APM, distributed traces, logs, infrastructure, and real user sessions, correlated in one place.
Session replay tells you what a user saw. It doesn't tell you whether a cold database query, a thrashing pod, or an N+1 loop caused a 4-second API response that led them to abandon checkout. Your team needs both layers, wired together.
Frontend tools show you the error. They don't show you what caused it. When a slow database query, a saturated service, or a missing log line is the root cause, that context lives outside the browser. Atatus brings APM traces, logs, and user sessions into a single correlated view so your engineers spend less time hunting across tools and more time fixing the actual problem.
Teams using LogRocket typically end up running a separate APM tool for backend performance, a standalone log aggregator for log search and retention, and a dedicated infrastructure monitoring platform for Kubernetes and container health. That's multiple vendor contracts, multiple data models, multiple alert queues, and you still have to manually correlate timestamps across all of them during an active incident. Atatus ships all of this as native, connected capabilities under one roof.
Atatus is SOC 2 Type II certified, ISO 27001 certified, and GDPR compliant across all customer tiers. If your engineering org handles sensitive data or operates in regulated industries, these aren't optional, and they shouldn't require an enterprise contract upgrade to access. Atatus also ships 24/7 human support on every paid plan, including during active production incidents.
Every team has different gaps. Here is when Atatus delivers what LogRocket structurally cannot.
Full-stack correlation in a single correlated view, not two separate tools.
End-to-end distributed tracing across every service hop, with latency attributed per service.
Surrounding log lines are auto-correlated to every error, no separate log tool needed.
Server health, Kubernetes clusters, containers, and database queries, all in the same platform
Slow queries, N+1 patterns, and connection pool exhaustion, visible at the query level, not just aggregate time.
LCP, CLS, INP, FCP, TTFB, per page, per geography, per device, linked to the backend trace that served them.
Side-by-side technical breakdown across every major observability domain.
End-to-end across every service hop
Slow query detection, N+1 identification, query frequency analysis
Per-dependency latency, failure rate, and impact attribution
Node.js, PHP, Java, Python, Ruby, .NET, auto-instrumented
All signals linked by request ID in a single timeline
Queue duration, failure rates, and job-level tracing
Not available, frontend performance only
Aggregate DB time only, no individual query visibility
No external API performance analysis
React, Vue, React Native, Android, iOS, frontend/mobile focused
No backend trace or log correlation possible
Not available
“We were running a separate APM tool, a log aggregator, and a frontend monitoring tool, three dashboards open during every incident. Switching to Atatus meant one view with traces, logs, and session context already correlated.”
We've had direct conversations with 100+ engineering teams who evaluated Atatus while actively using LogRocket. The same questions come up every time. Here are honest answers to each of them.
Yes. Atatus includes session replay natively, pixel-perfect recordings with user interaction history, JS error context, and network request logs attached. You don't need LogRocket running in parallel. The key difference is that Atatus links each session directly to the backend APM trace and log events that served it, so you're not toggling between two tools to understand what the user experienced and what the backend did.
Atatus is built primarily for engineering and platform reliability teams. It covers real user monitoring, Core Web Vitals, session replay, JS errors, and user impact scoring per error. If your primary use case is product analytics, funnel analysis, feature adoption tracking, A/B experiment correlation, that is not Atatus's focus area. Teams who need both typically use Atatus for all their observability and retain a product analytics tool separately.
Most teams are fully instrumented within a day. Atatus auto-instruments Node.js, PHP, Java, Python, Ruby, and .NET, no manual code changes required across services. The recommended approach is to run Atatus in parallel with your existing tooling for 1–2 weeks, validate coverage, then cut over. Our team provides direct migration support on every paid plan, including helping you map existing alert rules and dashboards into Atatus.
Both. Atatus monitors your Kubernetes cluster natively, pod health, node resource usage, deployment status, container restart tracking, and correlates that data with your application APM and error events. If a pod starts thrashing memory and your API error rate spikes 30 seconds later, Atatus surfaces both signals in the same timeline. LogRocket has no cluster-layer visibility.
Atatus is SOC 2 Type II certified, ISO 27001 certified, and GDPR compliant, across all customer plans, not just enterprise tiers. On-premises deployment is also available for teams with strict data residency requirements. Compliance documentation and DPA agreements are available upon request.
No, Atatus includes native log management for structured and unstructured logs across all your services. Full-text search, field-level filtering, log anomaly detection, and automatic correlation to error events and APM traces are all included. Most teams retire their standalone log aggregator after completing the Atatus migration.
Every paid Atatus plan includes 24/7 human support, not a ticket queue. During your migration and afterward, you have direct access to the support team. If you hit a production incident while still migrating, Atatus support engages immediately. This is not gated behind an enterprise contract.
14-day free trial. Full platform. No credit card required. Migration support included. Join with teams who switched from LogRocket · Average setup time: under 10 minutes