SigNoz
SentrySentry vs SigNoz: Which Is Better for a Self-Hosted Observability Stack? (2026)
Quick Verdict
Choose SigNoz if...
Best for teams committed to OpenTelemetry who need distributed tracing, metrics, and logs in one self-hosted stack at minimal infrastructure cost.
Choose Sentry if...
Best for teams whose number-one priority is debugging application errors fast — especially frontend or user-facing apps where session replay and rich context matter.
If you're shopping for a self-hosted observability stack, Sentry and SigNoz almost always end up on the shortlist — and the comparison is genuinely interesting because the two tools come at observability from opposite directions. Sentry started as an error tracker and gradually expanded into tracing, performance, profiling, and logs. SigNoz started as an OpenTelemetry-native APM and gradually expanded into exceptions monitoring. Both are open source. Both can be self-hosted. They are not interchangeable.
The trap most teams fall into is treating this as a feature checklist exercise. On paper, the two products overlap on traces, metrics, logs, and error/exception monitoring — so the spreadsheet says "basically the same thing." In practice they feel completely different in production. Sentry is opinionated about debugging individual errors and giving you the exact line of code, breadcrumbs, and (on the SaaS) a session replay. SigNoz is opinionated about giving you raw OpenTelemetry signals in one place with PromQL/ClickHouse query power and no vendor SDK lock-in.
This guide compares them specifically for the self-hosted use case — which is where the architectural and resource trade-offs really matter. We'll cover what each one is genuinely good at, what self-hosting actually costs you in CPU/RAM/disk, how the data model and SDK story differ, and which scenarios push the decision one way or the other. If you're also evaluating broader options, browse the full monitoring & observability category.
Who this guide is for: engineering teams who have decided (or are considering) running their own observability stack instead of paying Datadog/New Relic SaaS rates, and who want a clear-eyed take on which open-source option fits their workload.
Feature Comparison
| Feature | SigNoz | Sentry |
|---|---|---|
| Distributed Tracing | ||
| Log Management | ||
| Metrics & Dashboards | ||
| Alerts | ||
| Exceptions Monitoring | ||
| OpenTelemetry Native | ||
| Service Maps | ||
| Error Monitoring | ||
| Performance Tracing | ||
| Session Replay | ||
| Profiling | ||
| Seer AI Debugger | ||
| Structured Logging | ||
| Cron & Uptime Monitoring | ||
| Integrations |
Pricing Comparison
| Pricing | SigNoz | Sentry |
|---|---|---|
| Free Plan | ||
| Starting Price | 49/month | 26/month |
| Total Plans | 3 | 4 |
SigNoz- Logs, traces, metrics
- Dashboards and alerts
- OpenTelemetry native
- $0.30/GB logs and traces
- $0.10 per million metrics
- SSO & SAML
- 30-day trial
- Regional data control
- BYOC deployment
- Dedicated support
- Volume discounts
Sentry- 1 user
- 5K errors
- 5M spans
- 50 session replays
- 10 custom dashboards
- Email alerts
- Unlimited users
- 50K errors
- 5M spans
- Third-party integrations
- 20 custom dashboards
- Seer AI debugging agent
- Everything in Team
- Insights with 90-day lookback
- Unlimited custom dashboards
- Unlimited metric alerts with anomaly detection
- Advanced quota management
- SAML + SCIM support
- Everything in Business
- Technical account manager
- Dedicated customer support
- Custom pricing and volume discounts
Detailed Review
SigNoz is the better choice if your priority is a true OpenTelemetry-native, full-stack observability platform that you control end to end. Built on ClickHouse with the OTel collector as the ingestion layer, SigNoz handles traces, metrics, and logs from the same data model — meaning you can pivot from a slow request in a trace view directly to the underlying logs and metric anomalies without re-querying across silos. That unified ClickHouse backend is the architectural differentiator: it handles high-cardinality data at a fraction of the cost of Elasticsearch-based observability stacks.
For self-hosting specifically, SigNoz is dramatically lighter than Sentry. A single-VM docker-compose deployment can comfortably handle a small-to-mid traffic application on 4 cores and 8 GB of RAM, and the scaling story is well-documented (sharded ClickHouse, separate query/ingestion nodes). The community edition is fully featured for the core observability use case — there's no "open core but the good stuff is paid" trap. Where it falls short is in error-debugging polish: the Exceptions tab is functional but lacks Sentry's breadcrumbs, session replay, and release-health depth.
Best fit: teams with a microservices architecture, an existing or planned OpenTelemetry investment, and a preference for raw query power (PromQL, ClickHouse SQL) over an opinionated debugging UI.
Pros
- OpenTelemetry-native end to end — no proprietary SDK lock-in, instrumentation is portable
- ClickHouse backend handles high-cardinality traces and logs at much lower cost than Elasticsearch
- Lighter self-hosting footprint — runs on 4 cores / 8 GB RAM for small-to-mid workloads
- Unified data model means traces, metrics, and logs are correlatable out of the box
- Fully featured community edition with no artificial gating of core observability features
Cons
- Exceptions/error monitoring is functional but far less polished than Sentry's error UX
- No session replay, source-map deep integration, or release health dashboards
- Smaller SDK and integration ecosystem — you rely on the OTel community for language support
Sentry wins on developer experience for error debugging — and that's a meaningful axis when you're choosing observability tooling. The self-hosted distribution (under the FSL license) gives you the same error tracking, performance tracing, profiling, and session replay you'd get on the SaaS, just on your own infrastructure. For teams whose primary observability pain is "a user hit a bug and I need to see exactly what happened," Sentry's combination of breadcrumbs, structured context, source maps, suspect commits, and (in newer versions) the Seer AI debugger is genuinely best-in-class — and SigNoz doesn't try to compete here.
The self-hosting trade-off is real, though. Sentry's stack is heavy: Postgres, Redis, Kafka, ClickHouse, Snuba, and a handful of worker processes. The official minimum is 4 CPU cores and 16 GB RAM, and in practice many teams run it on 8 cores / 32 GB for headroom. Upgrades occasionally involve breaking changes to the docker-compose layout. If you don't have someone on the team who's comfortable maintaining a multi-service stack, the operational cost of self-hosted Sentry can exceed what you save vs. the SaaS.
Best fit: teams whose top observability priority is fixing application errors fast — especially frontend-heavy or user-facing applications where session replay and detailed breadcrumbs pay for themselves on the first production incident.
Pros
- Best-in-class error debugging UX with breadcrumbs, suspect commits, and stack-trace context
- Session replay and source-map integration make frontend error triage dramatically faster
- 100+ language and framework SDKs — broadest ecosystem in the error-tracking space
- Self-hosted edition is fully featured under the FSL license (free for production use)
- Seer AI debugger and rich release-health dashboards reduce mean-time-to-resolution
Cons
- Heavy self-hosting footprint — 4+ cores and 16+ GB RAM minimum, with a multi-service stack to operate
- Tracing and metrics, while present, are less of a primary focus than in dedicated APMs
- OpenTelemetry support exists but Sentry's own SDKs are the first-class path
Our Conclusion
Choose Sentry if your primary pain is debugging application errors and you want the fastest path from "user reports a bug" to "here is the exact stack trace, the breadcrumbs, and the suspect commit." Sentry's self-hosted edition gives you the same error-tracking UX as the SaaS, plus tracing and profiling — and the SDK ecosystem (100+ languages/frameworks) is unmatched. You'll trade a heavier infrastructure footprint and a more complex docker-compose stack for an extremely polished debugging experience.
Choose SigNoz if you've already committed to OpenTelemetry (or want to), need real distributed tracing and metrics across a microservices fleet, and care about query flexibility (PromQL, ClickHouse SQL) more than session-replay-style debugging. SigNoz's ClickHouse backend handles high-cardinality data at a fraction of the cost of Elasticsearch-based stacks, and there's no SDK lock-in — if you ever leave, your OTel instrumentation moves with you.
What to do next: spin up both with docker-compose on a spare VM for a weekend. Send the same workload (a sample app instrumented with OpenTelemetry) to each and compare not just the dashboards but the resource graphs. The right answer is almost always obvious within 48 hours of real data. For broader context, see our best application monitoring tools roundup and our best open source observability tools guide.
Future-proofing note: OpenTelemetry is the clear long-term direction for the industry. Sentry has invested in OTel ingestion but its primary SDK story is still its own SDKs. SigNoz is OTel-native end to end. If your bet is that OTel becomes the universal standard, SigNoz is the safer architectural choice. If your bet is that great DX matters more than open standards, Sentry wins.
Frequently Asked Questions
Can Sentry be fully self-hosted for free?
Yes. Sentry offers a self-hosted distribution under a Functional Source License (FSL) that's free for production use. It runs via a docker-compose setup and includes error tracking, tracing, profiling, and replays. You give up the managed infrastructure but pay nothing in license fees.
What are the minimum hardware requirements for self-hosting Sentry vs SigNoz?
Sentry self-hosted officially recommends 4 CPU cores and 16 GB RAM as a minimum for a small production deployment because of its Postgres + Kafka + Redis + ClickHouse + Snuba stack. SigNoz is lighter — a single-node ClickHouse deployment with the OTel collector can run reasonably on 2–4 cores and 4–8 GB RAM, scaling horizontally as volume grows.
Does SigNoz do error/exception tracking like Sentry?
SigNoz has an Exceptions tab that captures stack traces correlated with traces, but it's deliberately less rich than Sentry. There's no session replay, no source-map deep integration with release health, and no breadcrumb timeline. If exception triage is your #1 use case, Sentry is materially better.
Which is better for OpenTelemetry?
SigNoz is OpenTelemetry-native — its entire ingestion pipeline is the OTel collector, so there's no proprietary SDK. Sentry supports OTel ingestion but is still strongest with its own SDKs. If avoiding vendor SDK lock-in is a hard requirement, SigNoz wins.
Can I use both Sentry and SigNoz together?
Yes, and many teams do. A common pattern is Sentry for application errors and release health (where its UX shines) and SigNoz for distributed tracing, metrics, and logs at the infrastructure level. The two have very little functional overlap when used this way.