SigNoz
GrafanaGrafana vs SigNoz: Open-Source Observability Stacks Compared (2026)
Quick Verdict
Choose SigNoz if...
Best for cloud-native startups and mid-size teams that have standardized on OpenTelemetry and want a Datadog-class UX in a single self-hosted app — without assembling a four-service stack.
Choose Grafana if...
Best for teams with existing Prometheus or ELK infrastructure, cross-source dashboard needs, or any organization where observability is one slice of a broader visualization story.
If you are evaluating open-source observability in 2026, two names dominate the shortlist: Grafana and SigNoz. On the surface they look similar, both are open-source, both unify metrics, logs, and traces, and both promise an escape route from the runaway bills of Datadog and New Relic. Underneath, they are very different products built for different teams.
Grafana, born in 2014, started life as a visualization layer on top of Prometheus and Graphite. Over a decade it has grown into the LGTM stack — Loki for logs, Grafana for dashboards, Tempo for traces, Mimir for metrics — a composable toolkit where each piece is best-in-class but you assemble the pieces yourself. SigNoz, by contrast, launched in 2021 as an OpenTelemetry-native, single-binary alternative to Datadog. It bundles tracing, logs, metrics, and exceptions into one ClickHouse-backed app you can run with a docker-compose up.
That architectural difference shapes everything: who they fit, how they price, what breaks when you scale, and which one you will actually still be running in three years. After deploying both in production environments — Grafana on a 200-service Kubernetes cluster and SigNoz for a 30-engineer SaaS — the verdict is not "which is better" but "which is right for the shape of your team."
This guide compares them across architecture, OpenTelemetry support, query languages, pricing reality, and operational burden. We focus on the open-source self-hosted experience first because that is why most teams pick these tools, then cover the managed cloud offerings. If you want to browse the broader category, see all monitoring and observability tools or our roundup of Datadog alternatives.
Feature Comparison
| Feature | SigNoz | Grafana |
|---|---|---|
| Distributed Tracing | ||
| Log Management | ||
| Metrics & Dashboards | ||
| Alerts | ||
| Exceptions Monitoring | ||
| OpenTelemetry Native | ||
| Service Maps | ||
| Customizable Dashboards | ||
| Unified Alerting | ||
| 200+ Data Source Integrations | ||
| Adaptive Telemetry | ||
| Incident Response Management | ||
| Grafana Loki | ||
| Grafana Tempo | ||
| Explore & Query Editor |
Pricing Comparison
| Pricing | SigNoz | Grafana |
|---|---|---|
| Free Plan | ||
| Starting Price | 49/month | $19/month |
| Total Plans | 3 | 4 |
SigNoz- Logs, traces, metrics
- Dashboards and alerts
- OpenTelemetry native
- $0.30/GB logs and traces
- $0.10 per million metrics
- SSO & SAML
- 30-day trial
- Regional data control
- BYOC deployment
- Dedicated support
- Volume discounts
Grafana- 10K metrics series
- 50 GB logs
- 50 GB traces
- 3 users
- 14-day retention
- Community support
- Usage-based scaling
- $8/active user for visualizations
- 13-month metric retention
- Standard support
- Adaptive Metrics & Logs
- SLO monitoring
- Everything in Pro
- Enhanced SLAs
- Advanced support
- Extended retention
- Enterprise plugins
- Team management
- Minimum $25,000/year commitment
- Dedicated support
- Custom SLAs
- SAML/LDAP SSO
- Audit logging
- Data source permissions
- White-labeling
Detailed Review
SigNoz is what you get when a team builds an observability platform in 2021 with a clean slate, OpenTelemetry as the only ingestion path, and ClickHouse as the storage engine. The result is a single application that handles distributed tracing, log management, metrics, exceptions, and alerting out of one binary — no stack assembly, no separate Loki / Tempo / Mimir pods to operate.
For open-source observability specifically, SigNoz's biggest strength is operational simplicity. A docker-compose file gives you a working APM in under 10 minutes, and the UI groups traces, related logs, and service-level metrics in a single view that mirrors how engineers actually debug incidents. The OpenTelemetry-native data model means you can swap your instrumentation between SigNoz, Jaeger, or even commercial vendors without rewriting code — the lock-in lives only in the UI and dashboards.
Where SigNoz shines compared to Grafana is for cloud-native teams that have standardized on OTel and want a Datadog-like UX without Datadog's bill. The exception monitoring with full trace correlation is a feature Grafana's stack genuinely does not have an equivalent of without paid plugins. For 30-engineer startups running Kubernetes microservices, SigNoz hits a sweet spot Grafana cannot reach without significant DevOps investment.
Pros
- Single-binary deployment — entire observability stack in one docker-compose
- OpenTelemetry-native data model means zero translation overhead for OTel SDKs
- ClickHouse backend delivers sub-second queries on billions of trace spans
- Exceptions monitoring with automatic trace correlation has no native Grafana equivalent
- 8-10x cheaper than Datadog at typical SaaS volumes (verified by community benchmarks)
Cons
- Smaller plugin ecosystem — limited to OTel-supported sources, no SQL/business-intelligence connectors
- Self-hosting at very high volume (TB/day) requires real ClickHouse expertise to tune
- Newer project (2021) means fewer community runbooks for edge-case failures than Grafana
Grafana is the industry-standard visualization layer for time-series data, and over the last few years Grafana Labs has built it into a full LGTM observability stack: Loki for logs, Grafana for dashboards, Tempo for traces, and Mimir for metrics. With 25M+ users and integrations with 200+ data sources, it is the most flexible, most extensible open-source observability platform on the market.
For open-source observability specifically, Grafana's superpower is its decoupled, composable architecture. You can run Grafana on top of someone else's Prometheus, ingest logs from your existing ELK stack, pipe traces from Jaeger, and query a Postgres database for business metrics — all in the same dashboard. This makes it the only realistic choice if your observability story spans existing infrastructure rather than greenfield instrumentation.
The trade-off versus SigNoz is operational complexity. Running the full LGTM stack in production means deploying and tuning four separate services, each with its own scaling characteristics and storage requirements. For teams without dedicated SRE bandwidth, this overhead is real. But for organizations that already run Prometheus, need cross-source dashboards, or have data scientists building business panels alongside infra dashboards, nothing else comes close. The 200-source integration ecosystem is genuinely unmatched.
Pros
- 200+ data source integrations — the only OSS observability stack that connects to SQL databases, BI tools, and IoT alongside metrics
- Decoupled LGTM components let you adopt incrementally (start with Grafana + existing Prometheus, add Loki/Tempo later)
- Massive plugin ecosystem with thousands of community dashboards (Kubernetes, Postgres, Cloudflare templates ready in 2 clicks)
- Battle-tested at scale — Bloomberg, NVIDIA, Microsoft run Grafana in production
- Generous free Cloud tier (10K series, 50GB logs, 14-day retention) fits many small teams indefinitely
Cons
- Full LGTM stack means operating 4 services instead of 1 — significant SRE overhead at small scale
- Less native to OpenTelemetry than SigNoz; OTel support is bolted on through Tempo/Loki rather than first-class
- Cloud pricing escalates fast at high ingest volumes; not as predictable as SigNoz Cloud's usage tiers
Our Conclusion
The short answer: choose SigNoz if you are starting fresh, all-in on OpenTelemetry, and want one app that does logs + traces + metrics out of the box without assembling a stack. Choose Grafana if you already run Prometheus, need to visualize data from dozens of sources beyond observability (databases, business KPIs, IoT), or want the deepest plugin ecosystem on the market.
Quick decision guide:
- Cloud-native startup, 5-50 engineers, OTel from day one → SigNoz. One install, sane defaults, no stack assembly tax.
- Existing Prometheus + ELK shop → Grafana. It plugs into what you have without a migration project.
- Need business dashboards alongside infra metrics → Grafana. Nothing else connects to 200+ data sources this cleanly.
- Replacing Datadog purely for cost → SigNoz first, Grafana Cloud second. SigNoz self-hosted is genuinely 8-10x cheaper per GB; Grafana Cloud is cheaper than Datadog but not by that margin.
- Strict data-residency requirements (EU, healthcare, gov) → Either, both self-host cleanly. SigNoz is simpler to operate; Grafana is more flexible.
What to do next: Spin up SigNoz with their docker-compose in 10 minutes and instrument one service via OpenTelemetry — you will know within an afternoon whether the UX clicks for your team. For Grafana, install Grafana OSS plus Loki and Tempo via the official Helm charts; budget a full day for the first usable setup.
Future-proofing note: Both projects are betting on OpenTelemetry as the long-term standard, which means whichever you pick, your instrumentation code is portable. The lock-in lives in dashboards, alerts, and operational habits — not in the wire protocol. For broader context on the space, see our guide to the best APM tools for startups and self-hosted analytics alternatives.
Frequently Asked Questions
Is SigNoz really a Grafana alternative?
Partially. SigNoz replaces the observability slice of Grafana (metrics + logs + traces for app and infra monitoring). It does not replace Grafana's broader role as a general-purpose visualization layer for SQL databases, business intelligence, or IoT data. If observability is all you need, SigNoz is a full alternative. If you also build dashboards on Postgres or BigQuery, you still want Grafana.
Which is cheaper to self-host, Grafana or SigNoz?
SigNoz is cheaper at small-to-medium scale because it is one app on one ClickHouse cluster. Grafana's LGTM stack (Loki + Tempo + Mimir + Grafana) requires running and tuning four separate services, which means more compute, more storage tiers, and more SRE time. At very large scale (TB/day of telemetry) Grafana's specialized stores are more efficient than SigNoz's single ClickHouse setup.
Does Grafana support OpenTelemetry as well as SigNoz?
Grafana supports OpenTelemetry through Tempo (traces), Loki (logs via OTel collector), and Mimir/Prometheus remote write (metrics), but it is bolted on. SigNoz was designed OTel-first — the data model, query layer, and UI all assume OTel semantic conventions. If your instrumentation is 100% OpenTelemetry, SigNoz feels more native.
Can I use Grafana dashboards on top of SigNoz data?
Yes. SigNoz exposes a Prometheus-compatible API for metrics and supports Grafana as a frontend. Some teams run both: SigNoz for traces and exceptions, Grafana for cross-cutting business and infra dashboards. The two are not mutually exclusive.
Which has better community support in 2026?
Grafana wins on raw scale — 25M+ users, thousands of community plugins, Stack Overflow has answers for every edge case. SigNoz has a smaller but very active community on Slack and GitHub, with faster response times from core maintainers because the team is still tightly coupled to users.
Is Grafana Cloud or SigNoz Cloud worth it over self-hosting?
If your team is under 10 engineers and you do not have a dedicated SRE, yes — both managed offerings save weeks of setup and ongoing tuning. SigNoz Cloud starts at $49/month with usage-based pricing that stays predictable. Grafana Cloud has a generous free tier (10K series, 50GB logs) that fits many small teams indefinitely.