Obseria vs Sentry

Feature comparison

Obseria as a Sentry alternative: the short answer

Sentry and Obseria are often mentioned together, but they start from different places. Sentry is built for developers: an exception in production becomes a grouped issue with stack trace, breadcrumbs, release, suspect commit and, if enabled, a session replay. Over the years Sentry has added tracing, logs, profiling, uptime and cron monitoring. Obseria starts from the system: infrastructure, services, user experience and business processes, observed through OpenTelemetry and stored in one lakehouse. If you are searching for a Sentry alternative, be clear about which problem you want to solve. For pure code-level error tracking, Sentry is a specialist that is hard to replace. If you need APM, infrastructure monitoring and log analytics in one place, Obseria covers more ground. This article is based on Sentry's public pricing page and documentation as of October 2026.

Scope: error tracking vs. full-stack observability

Sentry's core strengths are developer-centric:

• Issue grouping of errors and crashes across web, mobile, backend and game platforms, with source maps and symbolication.
• Release health and suspect commits, linking errors to the deploy and code change that introduced them.
• Session replay attached to errors, so developers see what the user did before a crash.
• Tracing, logs, profiling, and uptime and cron monitors that extend this view into performance.

Obseria includes error tracking, distributed tracing, session replay and continuous profiling as part of a broader platform. On top, it covers areas outside Sentry's focus: infrastructure observability for hosts, Kubernetes and more than 300 AWS, Azure and GCP services, log analytics at petabyte scale, synthetic checks from more than 50 locations, business observability, application security with runtime vulnerability analytics, and AI Observability for LLM applications. Obseria TopoGraph automatically maps how apps and infrastructure depend on each other, which matters when the root cause of an error is a saturated database node rather than a line of code.

In practice, the overlap is smaller than it looks. Sentry answers the developer's question of which code path failed for which user, and Obseria answers the operator's question of which part of the system is degraded and why. Teams that already rely on Sentry for triage often keep it and add an observability platform for the rest, rather than replacing one with the other.

Pricing model: plans with quotas vs. per-signal metering

Sentry sells plans. According to its pricing page, the free Developer plan is limited to one user and includes small quotas of errors, spans, replays and logs. Team and Business add unlimited users, more integrations and dashboards, and on Business advanced quota management and SAML/SCIM; Enterprise is custom. Each plan includes quotas per data type, such as errors, spans, session replays, logs in GB, attachments and monitors. Usage beyond quotas is billed on demand, and continuous and UI profiling are billed per hour. Sentry's AI agent, Seer, is a paid add-on: Sentry's documentation lists it per active contributor per month, where an active contributor is a user who opens at least two pull requests in a Seer-enabled repository.

Obseria uses one usage-based model for every signal, with no plans, seats or quotas:

• Logs, spans and RUM web events: $0.060 per million ingested and $0.540 per million stored, with 30-day retention.
• Metric data points: $0.020 per million ingested and $0.180 per million stored, with 13-month retention.
• Synthetic API check runs: $0.20 per thousand; Obseria Intelligence agent credits: $0.60 per credit; AI Code Insights: $10 per user per month.
• Filtered data only costs ingestion. Every feature is included for unlimited users.

Sentry's model is very approachable for a single application team, because you pick a plan and tune quotas per data type. Per-signal metering tends to be easier to forecast when telemetry from many services and infrastructure layers flows into one platform.

Instrumentation and OpenTelemetry

Sentry's SDKs are its biggest asset: they capture errors with rich context in dozens of languages and frameworks with very little setup. Sentry also integrates with OpenTelemetry. Its documentation describes OTLP endpoints for traces and logs, currently in open beta, while OTLP metrics are not supported yet.

Obseria is OpenTelemetry-native. OTLP is the primary ingest protocol, semantic conventions are the data model, and data can be exported via OTLP at any time. Teams with existing OTel SDKs typically see their first trace within 15 minutes, and the Obseria Agent adds host-level metrics, logs, profiles and security signals. If you keep Sentry for errors, you can still instrument services with OpenTelemetry and send traces to Obseria, so both tools coexist without double instrumentation for tracing.

AI for debugging and root-cause analysis

Seer is focused on the developer loop: it analyzes issues using stack traces, context and your code, proposes root causes and can draft code fixes and pull requests. This is a strong fit for teams who want AI help directly at the code level.

Obseria Intelligence works at the system level. It combines causal, predictive and generative AI, runs agentic root-cause investigations across the TopoGraph and all signals in Obseria Lake, and returns a chain of evidence engineers can verify. AI Code Insights brings these findings into the development workflow. Customer data is never used to train AI models.

Data residency, self-hosting and compliance

Sentry lets you choose a US region (Iowa) or an EU region (Frankfurt) when you create an organization. Event data such as errors, spans, logs and replays is stored at rest in that region, while some account and organization metadata is always stored in the US, according to Sentry's documentation. Sentry can also be self-hosted under the Functional Source License; the self-hosted edition is designed for simpler deployments and does not include Seer.

Obseria stores data in the EU (Frankfurt, Dublin), the UK (London) or your own cloud account (BYOC). It is certified to ISO 27001, 27017 and 27018, SOC 2 Type II, BSI C5 for the EU region and TISAX, and supports DORA, NIS2 and GDPR with automatic PII masking, field-level access, audit logs and a 99.95% SLA.

Adopting Obseria next to or instead of Sentry

1. Start with OpenTelemetry tracing: instrument services with OTel SDKs and send traces to Obseria, while Sentry continues to capture errors.
2. Add infrastructure and logs: deploy the Obseria Agent to correlate application issues with hosts, containers and log data.
3. Decide on error tracking: evaluate Obseria error tracking against your Sentry workflow and keep whichever serves your developers best.

The 14-day free trial needs no credit card.

Which tool fits you?

Switching in three steps

1. Add OTel tracing. Instrument services with OpenTelemetry SDKs and send traces to Obseria while Sentry keeps capturing errors.
2. Correlate with infrastructure. Deploy the Obseria Agent to connect application issues with hosts, containers, logs and topology.
3. Decide on error tracking. Compare Obseria error tracking with your Sentry workflow and keep the tool that serves developers best.