Frequently Asked Questions

Question 1

Is OpenObserve a good Sentry alternative?

Accepted Answer

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.

Question 2

How does OpenObserve pricing compare to Sentry's?

Accepted Answer

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.

Question 3

How hard is it to migrate from Sentry to OpenObserve?

Accepted Answer

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.

Question 4

Does OpenObserve have error tracking and session replay like Sentry?

Accepted Answer

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.

Question 5

Can I self-host OpenObserve? How does that compare to self-hosted Sentry?

Accepted Answer

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.

Question 6

Will I lose anything by leaving Sentry?

Accepted Answer

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.

Question 7

Is OpenObserve enterprise-ready?

Accepted Answer

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.

Feature	Sentry	OpenObserve	Reference Links
Full observability: logs, metrics, traces, dashboards, alerts, pipelines	Partial: app errors, tracing, limited logs/metrics	✓	Logs Metrics Traces Dashboards Alerts Pipelines
Error and crash tracking	✓ Best-in-class issue grouping	✓ Via logs, traces, and RUM error tracking	Learn more
Infrastructure & Kubernetes monitoring	✗ Application-level only	✓ Host, container, and K8s metrics	Learn more
Log aggregation at scale	Limited: small included quota, app-debugging focus	Petabyte-scale log search and analytics	Learn more
Real User Monitoring	Session Replay, billed per replay	✓ RUM with session replay included	Learn more
Pricing model	Separate quotas per errors, spans, replays, logs + overages	Simple ingest-based pricing; self-hosted is free	Pricing
Open Source	Source-available (FSL license)	✓	-
Self-hosting complexity	Kafka, ClickHouse, Redis, PostgreSQL stack	Single binary or Helm chart, minutes to deploy	Learn more
Query language	UI-driven queries, limited ad-hoc analytics	SQL + PromQL	Used universally with no learning curve
Data retention & storage	Fixed retention (typically 90 days on SaaS)	Object storage: retain for years without budget blowouts	Learn more
OpenTelemetry	Accepts OTel data, optimized for Sentry SDKs	OTel-native for logs, metrics, and traces	Learn more
IAM & SSO	✓ (SSO on higher tiers)	✓	SAML, OIDC, LDAP, role-based access

OpenObserve vs Sentry

Why teams switch from Sentry

No Per-Event Quotas

Full-Stack, Not App-Only

Self-Hosting That's Actually Simple

Log Analytics at Scale

OpenTelemetry Native

Minimal Operational Overhead

See how OpenObserve goes beyond Sentry

Feature comparison

Migrating from Sentry

Deploy OpenObserve and run it alongside Sentry

Move instrumentation to OpenTelemetry

Rebuild alerts, then cut over