Intuitive Sentry Alternative

Observability, Simplified

Qorrelate

Qorrelate

Full-stack observability

vs
Sentry

Sentry

Error tracking

OpenTelemetry-native

OpenTelemetry-native platform for seamless, standardized data collection and interoperability across cloud and distributed systems.

service.nameservice.name
service.versionservice.version
cloud.providercloud.provider
db.systemdb.system
net.peer.namenet.peer.name

Your advantage: Standard OTel names mean portable dashboards, community runbooks, and zero rewriting when switching backends.

Sentry SDK Required

Sentry primarily uses its own SDK for instrumentation. OTel integration exists but full features require their proprietary SDK.

service.nameproject
service.versionrelease
cloud.providerserver_name
db.systemdb_system
net.peer.nameserver.address

Why it matters: Every renamed attribute means rewriting dashboards, alerts, and queries if you ever switch. OTel standards keep your data portable across any backend.

Full Log Management

Complete log management with powerful search, filtering, and analysis. All your logs in one unified place with full context.

Full-text search across all log data
Filter by service, severity, and attributes
Log-to-trace correlation in one click
Live tail & histogram analytics
All log levels, all services, full context

Your advantage: Investigate errors with full log context—see INFO, DEBUG, and WARN around the failure without switching tools.

Error Events Only

Sentry focuses on error events and exceptions. Not designed for general log management or structured logging workflows.

No full-text log search
No structured log filtering or queries
Errors and exceptions only -- no INFO/DEBUG
No log-to-trace correlation
Separate tool needed for log management

Why it matters: Error-only scope forces a separate log tool. Root cause analysis stalls when you can't see the full request lifecycle in one place.

OpenTelemetry & Prometheus Metrics

Ingest metrics from any source -- OpenTelemetry, Prometheus, StatsD. Query with PromQL across all your infrastructure.

OpenTelemetry, Prometheus, StatsD ingestion
PromQL queries across all infrastructure
Custom dashboards with any metric source
Host, container, and app-level metrics
Vendor-agnostic, bring any metrics source

Your advantage: Native OTel and Prometheus metrics let you correlate errors with infrastructure health in one place.

Application-Focused Metrics

Sentry metrics are tied to their SDK. Limited flexibility for custom infrastructure metrics and PromQL-based queries.

No Prometheus or StatsD support
No PromQL -- limited query flexibility
No infrastructure or host-level metrics
SDK-only metrics, no external sources
Locked to Sentry SDK for all metrics

Why it matters: SDK-required metrics mean you can't bring existing Prometheus dashboards or infrastructure metrics. Limited observability beyond app errors.

Full Distributed Tracing

Complete distributed tracing with waterfall views, service maps, and deep drill-down capabilities across all services.

Waterfall views with span-level detail
Service map with dependency visualization
Trace-to-log and trace-to-replay correlation
Latency breakdown across microservices
End-to-end visibility across every request

Your advantage: Trace errors end-to-end with waterfall views, service maps, and one-click correlation to logs and session replay.

Limited Tracing

Sentry has basic transaction tracing but lacks the depth and drill-down capabilities of dedicated APM tools.

No service map or dependency graph
Transaction-level only, limited span detail
No trace-to-log correlation
Performance monitoring is secondary to errors
Error-first tool, tracing is an add-on

Why it matters: Transaction-level tracing without service maps or trace-to-log correlation leaves you guessing at the full request path when debugging.

Pay For What You Use

Only pay for the telemetry data you actually use, after filtering out noise with the built-in spam filter.

$
Filter first, then pay
Drop filters remove noise before billing
No per-seat fees -- unlimited users included
Budget alerts and quota controls built in

Your advantage: Drop filters remove noise before billing. Unlimited users included. No surprise spikes from error volume.

Pay For What You Ingest

You pay for all ingested data upfront, regardless of any filtering applied within Sentry after ingestion.

$$$
Pay for everything upfront
Billed on ingested events, not useful data
Per-seat pricing adds up with larger teams
Spike protection can drop data unexpectedly

Why it matters: Event-based billing means error spikes directly hit your bill. Per-seat pricing and no pre-billing filters make cost control difficult.

Why choose Qorrelate vs. Sentry?

See how we compare on the features that matter

Features
Qorrelate
Sentry
Full distributed tracing(✓)
OpenTelemetry-native(✓)
Full log management
Infrastructure metrics(✓)
Session replay
Self-hosted option

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