Primary question: Does consolidating three telemetry signals into a single ClickHouse-backed platform reduce your operational overhead enough to justify the migration and capacity-planning effort?
RepoDaily adoption score
RepoDaily rates this as 91/100 (strong) for adoption: evidence, installation path, production risk, differentiation, license clarity, and AI/agent fit are scored from the article sources and adoption notes.
5 source(s) across 3 source category/categories, plus a RepoDaily-specific evidence module when available.
6 workflow step(s), 5 next-action step(s), and 3 command/install signal(s) were detected.
Trending momentum is +425 stars, with maintenance/release/issue signals counted when present.
Risk is marked medium, with 6 security note(s) and 4 explicit skip condition(s).
3 opportunity lens item(s), 4 alternative(s), and 4 type-specific section(s) support differentiation.
License source or license wording is present.
6 AI/agent-related signal(s) were detected in the article text and metadata.
Project overview
SigNoz is an open-source observability platform built on OpenTelemetry that unifies application performance monitoring, distributed tracing, log management, metrics, dashboards, exceptions, and alerts in a single tool. The README explicitly positions it as an enterprise-grade alternative to fragmented monitoring stacks and to commercial products such as DataDog and New Relic.
The community edition runs on your own infrastructure via Docker, Kubernetes, or Linux. The repository's license file clarifies the split: code outside the `ee/` and `cmd/enterprise/` directories ships under the MIT Expat license, while enterprise-only code in those directories is covered by a separate `ee/LICENSE`. This means the self-hosted community build includes the core telemetry pipeline and UI without requiring a proprietary runtime.
Under the hood, `go.mod` reveals the platform's backbone: ClickHouse as the primary analytical store (`github.com/ClickHouse/clickhouse-go/v2`), the SigNoz-maintained OpenTelemetry collector (`github.com/SigNoz/signoz-otel-collector v0.144.3`), Redis for caching and coordination, Prometheus libraries for metrics, Alertmanager for alerting, and OpenFGA for fine-grained authorization. The frontend is TypeScript-based, while the backend services are written in Go.
The README's description also highlights a newer direction: agent-native workflows. Screenshots in the README show a "Noz" interface alongside MCP-powered agent flows, suggesting SigNoz is building toward AI-assisted triage on top of its unified telemetry data.
Why it is trending now
- 425 period stars at trending rank 4, driven by the OpenTelemetry-native positioning and the addition of agent-native workflows shown in the README.
- Consolidates three typically separate tools—metrics (Prometheus/Grafana), traces (Jaeger/Tempo), and logs (Loki/Elastic)—into one ClickHouse-backed platform, which reduces integration glue for teams standardizing on OTel.
- Uses `signoz-otel-collector v0.144.3`, a SigNoz-maintained fork of the upstream OpenTelemetry Collector, aligned with OTel Collector `v0.144.0`, meaning instrumentation is vendor-neutral and portable.
- Self-hosted community edition is free under MIT Expat, giving teams a DataDog-class feature surface—APM, log search, trace funnels, dashboards—without per-host SaaS pricing.
Problem it solves
- Running Prometheus, Loki, and Jaeger separately creates fragmented investigation paths: a spike in error rate in Grafana, the trace in Jaeger, and the log line in Loki require manual correlation.
- Commercial APM tools like DataDog and New Relic charge by host, container, or ingestion volume, which creates budget pressure as observability coverage expands.
- OpenTelemetry has become the de facto instrumentation standard, but many platforms still ingest OTLP only through proprietary gateways or charge extra for native OTLP support.
- Agent-based troubleshooting workflows (asking an LLM about a span or a log cluster) are emerging, but most observability tools were not designed with agent-native interfaces in mind.
How it works
- Instrumentation: Applications emit telemetry using OpenTelemetry SDKs in OTLP format. SigNoz accepts OTLP traces, metrics, and logs directly without a separate vendor gateway.
- Collection: The `signoz-otel-collector` receives OTLP data, processes it, and writes to ClickHouse for long-term storage and high-cardinality querying.
- Storage and query: ClickHouse serves as the single analytical backend. Metrics dashboards support three query modes: a visual Query Builder, PromQL, and raw ClickHouse SQL.
- Investigation: The UI correlates traces, logs, and metrics within the same view. Features like trace funnels visualize where requests drop off across service boundaries.
- Alerting: Alertmanager (`github.com/prometheus/alertmanager v0.31.1`) handles notification routing. The platform supports threshold and anomaly-based alerts tied to metrics, logs, or trace-derived signals.
- Access control: OpenFGA (`github.com/openfga/api/proto`) and SAML2 / OIDC integration (`russellhaering/gosaml2`, `coreos/go-oidc/v3`) provide RBAC and SSO in the enterprise edition.
Product demo and interface preview
Architecture read: what the dependency graph reveals
`go.mod` (`module github.com/SigNoz/signoz`, `go 1.25.7`) is the most informative source for understanding SigNoz's runtime architecture. The ClickHouse client `github.com/ClickHouse/clickhouse-go/v2 v2.44.0` and the SQL parser `github.com/AfterShip/clickhouse-sql-parser v0.4.16` confirm that ClickHouse is not optional—it is the primary analytical store for all three signals.
The telemetry pipeline runs through `github.com/SigNoz/signoz-otel-collector v0.144.3`, which is built on `go.opentelemetry.io/collector/otelcol v0.144.0`. This means SigNoz commits to tracking upstream OTel Collector releases closely rather than reimplementing ingestion from scratch.
Authorization is handled by OpenFGA (`github.com/openfga/api/proto` and `github.com/openfga/language/pkg/go`), a relationship-based access control system also used by Auth0 and Twitch. Combined with SAML2 (`russellhaering/gosaml2 v0.11.0`) and OIDC (`coreos/go-oidc/v3 v3.17.0`), the platform supports enterprise-grade identity federation.
Other notable dependencies include Redis (`github.com/redis/go-redis/v9`) for caching and transient state, Prometheus libraries (`prometheus/prometheus v0.311.3`, `prometheus/client_golang`) for metrics handling, and the Gin web framework (`github.com/gin-gonic/gin v1.11.0`) for the HTTP API layer.
Try-it path: from clone to first trace
- Self-host install docs are linked from the README at `https://signoz.io/docs/install/self-host/`, covering Docker Compose, Kubernetes Helm, and Linux systemd deployment paths.
- The `CONTRIBUTING.md` file points to `docs/contributing/development.md` for local development environment setup, and to `docs/otel-demo-docs.md` for deploying the OpenTelemetry Demo Application alongside SigNoz to generate sample traces and metrics.
- For a fastest first-look, the README recommends SigNoz Cloud with a 30-day free trial, no credit card required, and usage-based pricing starting at $49—useful for evaluation before committing to self-hosted infrastructure.
- Community Slack channels `#contributing` and `#contributing-frontend` (linked from CONTRIBUTING.md) are the primary support venues for self-hosted deployments.
Deployment notes: license boundary and tier selection
- The `LICENSE` file draws a clear boundary: code under `ee/` and `cmd/enterprise/` is governed by `ee/LICENSE` (proprietary), while everything else is MIT Expat. This is a standard open-core model.
- Enterprise tier adds RBAC, ingestion controls, custom retention policies, data residency, and region selection. These features exist in the repository but are gated by the enterprise license.
- BYOC (Bring Your Own Cloud) is offered as an enterprise deployment model between full SaaS and full self-hosted, giving teams control of the data plane while SigNoz manages the control plane.
- The `SECURITY.md` policy instructs researchers to report vulnerabilities to `security@signoz.io` rather than public GitHub issues, with a commitment to one issue per email for triage.
Alternative matrix: SigNoz vs. adjacent observability tools
- Vs. Grafana + Tempo + Loki + Prometheus: SigNoz replaces four separate components with one ClickHouse-backed platform, reducing integration complexity but increasing concentration risk on a single store.
- Vs. Jaeger: Jaeger handles distributed tracing only. SigNoz covers traces plus logs and metrics, with trace-funnel visualization that Jaeger does not offer natively.
- Vs. Datadog: Datadog is SaaS-only with per-host and per-ingest pricing. SigNoz Community is self-hosted and free; SigNoz Cloud starts at $49/month on usage-based pricing.
- Vs. Prometheus alone: Prometheus is metrics-only with PromQL. SigNoz supports PromQL alongside ClickHouse SQL and a visual Query Builder, and adds logs and traces that Prometheus cannot store.
Who should pay attention?
Good fit if
- Teams already standardizing on OpenTelemetry SDKs and OTLP export.
- Organizations that want to keep telemetry data inside their own VPC or on-premises data plane for compliance reasons.
- Platform engineering groups tired of maintaining four separate OSS telemetry stores (Prometheus, Loki, Tempo, Alertmanager) and the glue between them.
- Engineering teams evaluating AI-assisted incident triage who want an observability backend with an emerging agent-native surface.
Skip for now if
- Teams with a mature Grafana stack and no appetite for migrating storage backends to ClickHouse.
- Projects that only need log aggregation and have no distributed tracing or APM requirements.
- Organizations requiring a fully managed SaaS with zero infrastructure operations—use SigNoz Cloud instead of self-hosting.
- Teams whose telemetry volume is small enough that a single Prometheus instance already covers all needs.
Risks and cautions
SigNoz is a mature, well-architected platform, but self-hosted production adoption requires ClickHouse capacity planning, ongoing maintenance of the SigNoz-specific OTel collector fork, and acceptance of the open-core license boundary.
- ClickHouse is the sole analytical backend for all three signals. Underestimating storage and compute for high-cardinality trace data can degrade query performance.
- The platform uses `signoz-otel-collector v0.144.3`, a SigNoz-maintained fork. Teams must track SigNoz's release cadence rather than upstream OTel Collector directly, which can lag during breaking changes.
- Enterprise features (RBAC via OpenFGA, SSO via SAML2/OIDC, custom retention, data residency) are gated behind the `ee/` directory and require a commercial license, which may surprise teams expecting full feature parity in the community edition.
- The README and docs link to `signoz.io` for installation instructions, meaning the canonical self-host docs live outside the repository. Teams in air-gapped environments need to mirror or cache these.
- The `SECURITY.md` policy requests vulnerability reports via `security@signoz.io`, not public GitHub issues, with a commitment to one issue per email for triage.
- The `LICENSE` file clearly separates MIT Expat code from enterprise code under `ee/LICENSE`, reducing ambiguity about what can be redistributed.
- `go.mod` pulls in `golang.org/x/crypto v0.52.0` and `golang-jwt/jwt/v5 v5.3.1` for authentication and cryptographic operations.
- OIDC (`coreos/go-oidc/v3 v3.17.0`) and SAML2 (`russellhaering/gosaml2 v0.11.0`) are available for identity provider integration in enterprise deployments.
- OpenFGA provides relationship-based access control, enabling granular RBAC beyond simple role assignment.
- The policy recommends always running the latest version to receive security updates, implying that older releases may not receive backported fixes.
Alternatives to compare
| Approach | When to use | Trade-off |
|---|---|---|
Grafana + Loki + Tempo + Prometheus | You prefer a modular stack where each signal type has an independent, battle-tested component and you already operate Grafana. | Free OSS; Grafana Cloud adds managed hosting with usage-based pricing. |
Jaeger | You need distributed tracing only and already have separate tools for logs and metrics. | Free OSS (CNCF graduated). |
Datadog | You want a fully managed SaaS with zero infrastructure operations and broad third-party integrations out of the box. | Commercial SaaS, per-host and per-ingest pricing. |
Prometheus | You only need metrics collection and alerting with PromQL, and traces and logs are handled elsewhere. | Free OSS. |
What this trend reveals
ClickHouse SQL as a unified query surface
Because all three signals live in ClickHouse, teams can join metrics, logs, and traces using raw ClickHouse SQL in the dashboard builder. This opens up cross-signal analytical queries that are difficult or impossible in a fragmented Prometheus + Loki + Tempo stack.
The README explicitly lists ClickHouse SQL alongside PromQL and the Query Builder as a supported metrics-query mode.
Agent-native observability workflows
The README's mention of agent-native workflows and the MCP-powered "Noz" interface suggests SigNoz is building toward LLM-assisted incident triage. Teams already collecting OTLP data could leverage this surface for automated root-cause suggestions without exporting data to a third-party AI vendor.
The repository description references observability for 'your team and their AI agents,' and a README screenshot shows an MCP-powered agent workflow alongside the Noz interface.
Open-core enterprise feature gap
The clear `ee/` directory boundary creates a predictable upgrade path. Teams can start on the free MIT community edition and move to enterprise when RBAC, SSO, or data residency requirements emerge, without changing the underlying data plane or query layer.
The `LICENSE` file specifies that `ee/` and `cmd/enterprise/` content is under `ee/LICENSE`, while everything else is MIT Expat.
RepoDaily verdict
SigNoz delivers a genuinely unified observability experience on an OpenTelemetry-native, ClickHouse-backed architecture. The open-core license boundary is clear, the dependency graph is transparent, and the feature set—APM, log management, metrics with PromQL and ClickHouse SQL, trace funnels, and emerging agent-native workflows—covers the full three-signal surface that most teams previously assembled from four separate tools. Self-hosted adoption carries medium risk due to ClickHouse capacity planning and the SigNoz-specific collector fork, but for teams already committed to OTLP instrumentation, SigNoz is one of the most complete open-source alternatives to commercial APM platforms available in 2026.