urgentry vs SigNoz: errors-first vs observability-first.

Why this comparison is harder than the GlitchTip one

The urgentry vs GlitchTip comparison is a direct substitution question. Two Sentry-SDK-compatible error trackers, different implementation shapes, same job. The winner depends on which deployment shape fits the team.

urgentry vs SigNoz is not a substitution question. The two products serve different primary jobs, overlap on one use case, and require different SDK investments to adopt. Framing one as “better” than the other misses the point.

The honest framing is a question about starting point. If your team already instruments with OpenTelemetry SDKs and wants unified observability with exception visibility folded in, SigNoz is designed for that. If your team ships Sentry SDKs today and wants to keep those working while gaining trace and log ingest, urgentry is the path. If you are starting from scratch and can choose either SDK ecosystem, the decision becomes a question of what the product experience should look like for the error-investigation workflow.

Neither of those is a wrong answer. The comparison below is meant to help teams identify which starting point describes them.

What “observability-first” means in practice

SigNoz started in 2021 as an open-source alternative to Datadog and New Relic. The design premise was OpenTelemetry from day one: metrics, distributed traces, and logs stored in ClickHouse, queryable through a unified UI. Exception tracking enters SigNoz through spans. When an OTel SDK records an exception, it attaches it as a span event with a set of exception attributes: exception.type, exception.message, exception.stacktrace. SigNoz reads those attributes out of the trace corpus and surfaces them in an “Exceptions” view.

That approach has a real advantage: exceptions live inside their trace context from the start. You do not need to correlate a separate error event with a separate trace; they are the same data structure. The span that generated the exception and the spans around it are immediately visible.

The limitation is that exception management stays at the query level. SigNoz does not maintain a stateful issue lifecycle for exceptions. There is no grouping algorithm that collapses recurring instances of the same exception into one managed issue. There is no assigned-to, resolved, regressed, or ignored state. Each exception is a queryable event, not a managed work item.

For teams whose primary error workflow lives in a ticket system and who use their observability tool to answer “is there an error?” rather than “what is the error lifecycle?”, that is a workable model. For teams that depend on Sentry-style issue management, it is a genuine gap.

What “errors-first” means in practice

urgentry started from the opposite premise: the core product surface is the Sentry-compatible error tracker, and OTLP ingest for traces and logs extends that surface in the same binary.

When an error arrives in urgentry, whether via a Sentry SDK envelope or a future OTel exception, the server runs grouping, creates or updates an issue, attaches fingerprints, stores breadcrumbs, and records the full event context. The issue appears in a list with occurrence count, first-seen and last-seen timestamps, assigned owner, resolution state, and environment tags. That lifecycle management is the primary surface.

Traces enter through OTLP/HTTP in the same binary. urgentry correlates a trace ID in an error event with the corresponding OTLP trace spans stored in the same database, and surfaces that trace context from the error detail view. The trace is context for the error, not the primary artifact.

That inversion is the practical difference. A SigNoz user investigating an exception starts in the traces view and navigates to the exception event. An urgentry user investigating an exception starts in the issue list and navigates to the trace context. Same data, different starting surface.

The capability matrix

Sixteen rows covering the surfaces that matter most for this comparison.

Where SigNoz is ahead

The sections where SigNoz has a real lead, said plainly.

Full three-pillar observability

SigNoz covers metrics, distributed traces, and logs as first-class product surfaces, all backed by ClickHouse and correlated in a single UI. A team that wants RED metrics on their services, flamegraph-style trace visualization, log correlation, and exception visibility in one tool gets all of that from SigNoz. urgentry does not have a metrics pipeline. It has OTLP traces and logs, but it is not trying to replace Prometheus or a metrics-first observability tool.

If the team’s question is “what is happening across our stack right now, at the metrics and trace level?” and exceptions are one signal among several, SigNoz is built for that question.

ClickHouse scale headroom

ClickHouse is well-suited to high-cardinality time-series queries at large volume. Teams shipping hundreds of millions of spans per day get query performance that SQLite cannot match at that scale. SigNoz is built around that throughput assumption. urgentry is built for the kind of volume that fits on a single host, which is the right match for most small-to-midsize teams but not for organizations operating at data-warehouse scale.

Longer production track record

SigNoz started shipping in 2021, has well-funded development, and has accumulated four years of production deployments and community contributions. urgentry started shipping in 2025. The gap in production hours is real. Teams with a hard requirement for “has been someone’s primary observability tool for multiple years” cannot close that gap by reading a comparison article.

Hosted option removes infrastructure burden

SigNoz Cloud exists for teams that want the SigNoz product surface without running ClickHouse themselves. urgentry is self-host only today. A team that wants managed infrastructure and is evaluating between the two products on the exception-visibility axis has SigNoz Cloud as an option that urgentry cannot match.

Where urgentry is ahead

The compensating rows, with the same directness.

Sentry SDK compatibility with no code changes

This is the row that decides the comparison for any team with an existing Sentry SDK deployment. urgentry covers 218 of 218 operations in Sentry’s published OpenAPI schema. The SDKs your team already ships continue working. The DSN in each service configuration file is the only thing that changes.

SigNoz requires OpenTelemetry SDK instrumentation. For a team with twenty services instrumented with Sentry SDKs, switching to SigNoz is a re-instrumentation project, not a configuration change. That cost is not hypothetical; it is real engineering time on every service in the fleet.

First-class error issue lifecycle

urgentry tracks errors through the full Sentry-compatible issue lifecycle: grouping by fingerprint, occurrence counts, first-seen and last-seen timestamps, environment breakdown, assigned owner, resolution state, and regression detection when a resolved issue reappears. That state machine is the core product surface.

SigNoz surfaces exceptions as queryable events inside the trace corpus. The filtering is capable, but the issue lifecycle does not exist there. A team that manages error work through Sentry-style issue states and assignments would need to run a separate tool alongside SigNoz to get that workflow, or abandon it.

Deployment footprint on small infrastructure

urgentry is one Go binary, 52 MB resident at 400 events per second, with SQLite as the default database. The backup strategy is a file copy. The upgrade path is a binary swap. The monitoring surface is one process.

SigNoz self-hosted runs ClickHouse, Query Service, OTel Collector, Frontend, and Alertmanager, with ZooKeeper in some configurations. ClickHouse alone typically wants several gigabytes of RAM to perform well. For a team operating on a 2 GB or 4 GB VPS, the urgentry deployment model is the one that fits.

Symbol artifact coverage for mobile and native

urgentry handles JavaScript source maps, ProGuard mappings for Android, native debug files, and minidumps for native crash ingest. SigNoz is trace and log focused and does not have a symbol processing pipeline. For teams shipping iOS or Android applications alongside their backend services, the source map and ProGuard handling in urgentry is a concrete capability gap in SigNoz.

The SDK question

This deserves its own section because it is the fork in the road that most comparison articles skip.

Sentry SDKs and OpenTelemetry SDKs are not the same instrumentation. They overlap conceptually, both capture exceptions and traces, but they use different protocols, different endpoint paths, and different payload formats. A service instrumented with the Sentry Python SDK sends envelope payloads to the Sentry envelope endpoint. A service instrumented with the OTel Python SDK sends protobuf or JSON payloads to the OTLP endpoint. Swapping between them is a code change on the SDK side, not a configuration change on the server side.

SigNoz is designed for OTel SDKs. If you instrument a new service today with OTel from the start, SigNoz receives the data directly and you get the full product surface. If you have existing Sentry SDK instrumentation, you need to migrate that instrumentation before SigNoz receives anything from it.

urgentry accepts Sentry SDK payloads without modification. It also accepts OTLP for traces and logs. If you add OTLP instrumentation to a service that already sends Sentry SDK events, urgentry correlates both signals. That makes urgentry accessible for teams in a transition period, where some services are on OTel and others are still on Sentry SDK, without requiring a hard cutover.

The SDK question is binary for SigNoz (OTel required) and gradual for urgentry (Sentry SDK continues working, OTLP adds on top). That difference shapes the realistic migration path for most teams.

When to pick SigNoz

• Your team wants a single self-hosted tool for metrics, traces, logs, and exception visibility, without running four separate products.
• You are starting a new project and can choose OTel SDKs from day one, with no existing Sentry SDK investment to protect.
• Your exception workflow lives primarily in a ticket system (Jira, Linear), and you use your observability tool for “is this happening?” rather than “what is the state of this issue?”
• You operate at trace volume where ClickHouse’s performance characteristics justify its operational cost: hundreds of millions of spans per day across a large fleet.
• Your team wants SigNoz Cloud as the hosted option rather than running infrastructure yourself.
• Apache 2.0 is a hard license requirement and FSL-1.1 does not clear that gate for your legal team.

When to pick urgentry

• You have existing Sentry SDK instrumentation and want to keep it. The DSN swap is one line per service.
• Your team manages errors through the Sentry issue lifecycle: group, assign, resolve, regression alerts. That workflow does not transfer to SigNoz.
• You want a single Go binary on a 1 to 4 GB VPS, with SQLite as the database and no ClickHouse to operate.
• Your stack includes mobile or native code and you need source map, ProGuard, or minidump processing in the same tool.
• You already export OTLP from some services and want to correlate those traces with errors from your Sentry SDK services without running two separate tools.
• You are migrating off Sentry hosted and want the smallest possible change for your engineering team during the transition.

What this comparison is not

SigNoz is a well-built product with a clear design philosophy and a strong community. The places where it is ahead are real advantages, not paper differences. Teams that chose SigNoz for full observability and are satisfied with it have no reason to read this comparison as a prompt to switch.

This comparison is also not a claim that OTLP traces in urgentry match the depth of SigNoz’s trace product. SigNoz has invested four years in its trace visualization, correlation, and query surfaces. urgentry’s OTLP trace support is newer and the product surface, while functional, is not comparable in depth. If trace visualization is the primary use case, SigNoz wins on that surface.

The honest read is that these two tools serve teams at a different point in their observability maturity. A team starting fresh that wants unified observability should look hard at SigNoz. A team with a Sentry SDK investment that wants to reduce their self-hosted footprint while keeping their error workflow intact should look at urgentry. The overlap is the exception-visibility use case in the middle, and even there, the issue-lifecycle difference tends to make the choice clear once a team thinks through their actual workflow.