OpenObserve vs Sentry

It depends on what you need. Sentry is excellent at error grouping and issue triage for application developers — if that is all you use, it does the job well. Teams switch to OpenObserve when they need more than error tracking: full log search, infrastructure and Kubernetes metrics, distributed traces, and RUM in one platform, for both dev and ops teams. Instead of paying for Sentry plus a separate logging and metrics stack, you run one system.

Sentry's paid plans start at roughly $26-$29/month, but the base plan is only part of the cost: errors, spans, replays, and logs are metered in separate quota buckets, and pay-as-you-go overages kick in when any bucket is exhausted. A noisy deploy or incident — exactly when you need visibility most — can drive the bill up sharply. OpenObserve uses simple ingest-based pricing with no per-event quotas, and the open-source version is free to self-host with no event limits.

Usually easier than teams expect, because OpenObserve is OpenTelemetry-native. If you already use the OpenTelemetry Collector, you add an OTLP exporter and data flows immediately. If you use Sentry SDKs, you swap them for standard OTel SDKs (and OpenObserve RUM on the frontend). Most teams run both platforms in parallel for a few weeks, rebuild their key alerts and dashboards, then cut over. Historical Sentry events generally are not migrated — you start fresh with new data.

OpenObserve captures application errors through logs, traces, and its Real User Monitoring product, which includes frontend error tracking and session replay. You can search, dashboard, and alert on errors alongside the rest of your telemetry. To be honest: Sentry's specialized issue-grouping workflow (dedupe, assign, resolve, regress) is deeper for pure error triage. What OpenObserve adds is the full context around an error — the logs, infrastructure metrics, and traces from the same moment — in one place.

Yes. OpenObserve is open source and ships as a single binary, or as an HA cluster via Helm, backed by object storage such as S3. Self-hosted Sentry, by contrast, requires operating Kafka, ClickHouse, Redis, and PostgreSQL together, lags SaaS on some features, and is not covered by Sentry support. Also note Sentry's server code is under the FSL source-available license, while OpenObserve is open source.

Possibly some conveniences: Sentry's release-health views, suspect-commit detection, and AI-assisted issue triage are tailored specifically to application debugging. If those are central to your workflow, weigh them carefully — some teams even keep a minimal Sentry plan for issue triage while moving logs, metrics, traces, and RUM to OpenObserve. Most teams find the trade strongly favors consolidation: one platform, one query language, predictable costs, and observability that extends past the application layer.

Yes. OpenObserve is SOC2 Type II certified and ISO 27001 compliant. We process over 2 PB of data daily across thousands of deployments, including Fortune 100 enterprises. Enterprise features include RBAC, SSO, sensitive data redaction, and dedicated support.