SigNoz
VerifiedDevOps · signoz.io
Overview
SigNoz is an open-source observability platform built natively on OpenTelemetry that unifies logs, metrics, and traces in a single ClickHouse-backed application. It offers APM, distributed tracing, log management, and infrastructure monitoring, available both as a self-hostable Community Edition and as the managed SigNoz Cloud. It positions itself as a cost-predictable alternative to Datadog and New Relic.
The problem SigNoz solves
Teams drowning in fragmented monitoring stacks or facing unpredictable, escalating bills from commercial APM tools need a unified observability platform they can actually control. SigNoz addresses this with an OpenTelemetry-native, single-pane view of logs, metrics, and traces that can be self-hosted for full data ownership or run as usage-priced cloud. The trade-off is operational: self-hosting requires the DevOps capacity to run and scale ClickHouse, and incident/on-call workflows lean on integrations rather than a native suite.
Decision context
Use these points to test whether the product fits your operation, not just whether it has a long feature list.
- Published starting price: Free. Confirm user, usage, and feature limits for the plan you would actually buy.
- Deployment: cloud, on_premise, hybrid. Check security, data-residency, and access requirements for every team that will use it.
- Verified integrations include AWS, Azure, Google Cloud, Redis, PostgreSQL, MongoDB. Validate sync direction and plan limits for the connections that matter.
- This record was last checked on 8/5/2026; pricing and features can change.
How to evaluate SigNoz
A listing helps create a shortlist; a trial with the team’s real workflow decides whether the tool fits. Use this reading with the structured facts and confirm changes with the vendor.
Workflow fit
The record describes it as a fit for Engineering teams wanting an OpenTelemetry-native observability backend without vendor lock-in, Cost-conscious teams seeking a self-hostable or usage-priced alternative to Datadog/New Relic, Organizations with data-residency or air-gapped requirements that need on-premise observability. Check that this context matches the volume, roles, and processes your team needs it to support.
Pilot questions
- Can SigNoz complete the critical workflow without manual work outside the product?
- Do the recorded connections (AWS, Azure, Google Cloud, Redis) support the sync direction, permissions, and volume we need?
- What user, usage, storage, support, or security limits appear after the headline starting price?
Evidence and freshness
This record was checked on 8/5/2026. That date tells you when the record was reviewed, not that the vendor has left its terms unchanged since then.
Best for
- Engineering teams wanting an OpenTelemetry-native observability backend without vendor lock-in
- Cost-conscious teams seeking a self-hostable or usage-priced alternative to Datadog/New Relic
- Organizations with data-residency or air-gapped requirements that need on-premise observability
Not a fit if
- Teams without the DevOps capacity to provision and scale ClickHouse for self-hosted deployments
- Organizations needing a mature all-in-one incident-management and on-call scheduling suite out of the box
Why it’s listed
- One of the most popular open-source, OpenTelemetry-native observability platforms (31k+ GitHub stars), offering a genuine self-hostable alternative to Datadog and New Relic.
- Unifies logs, metrics, and traces plus APM and infrastructure monitoring in a single tool, avoiding a Grafana/Loki/Prometheus/Jaeger stack.
- Usage-based cloud pricing (per-GB ingested) is materially more predictable than host- or user-based commercial APM pricing.
Pricing
Community (Self-Hosted)
FreeOpen-source edition you install and manage yourself, with full observability features and no ingestion charges.
- Logs, metrics, and traces in one tool
- APM and distributed tracing
- Log management and infrastructure monitoring
- Self-managed on your own infrastructure (requires ClickHouse)
- MIT-licensed core
Teams (Cloud)
$49 per month + usageFully managed SigNoz Cloud with usage-based pricing, all product features, and support. Data centers in US, EU, and India.
- All observability features
- Usage-based ingestion pricing (logs/traces $0.30/GB)
- Noz AI teammate and MCP Server
- In-product chat, email, and Slack support
- Configurable retention (logs/traces up to 1 year)
- SOC 2 Type II and HIPAA compliant
Enterprise
$4,000 per month (starting, custom quote)Dedicated cloud, bring-your-own-cloud, or supported self-hosted deployment with volume discounts, annual contracts, and SLAs.
- Dedicated cloud, BYOC, or self-hosted with support
- Volume discounts and annual contracts
- HIPAA/BAA agreements
- Dedicated support, guided migration, and professional services
- SLA with downtime pairing
Features
Integrations
Security & compliance
Pros & cons
Pros
- OpenTelemetry-native from day one, so instrumentation uses vendor-neutral standards with no proprietary agents or translation layers
- Single unified UI and columnar (ClickHouse) datastore for logs, metrics, and traces
- Fully open-source Community Edition can be self-hosted so telemetry never leaves your infrastructure
- Usage-based (per-GB) cloud pricing is more predictable and typically cheaper than Datadog/New Relic
Cons
- Self-hosting carries real operational burden — teams must provision and scale ClickHouse clusters as ingestion grows
- Shorter default data retention compared with some established commercial platforms
- Younger ecosystem and smaller integration/plugin catalog than incumbents like Datadog
- Incident-management and on-call workflows rely on external integrations rather than a fully native suite
What we found
Community reception is broadly positive (31k+ GitHub stars): users praise its OpenTelemetry-native design, unified single-pane view of logs/metrics/traces, and cost predictability versus Datadog. The most common criticism is the operational burden of self-hosting, particularly provisioning and scaling the underlying ClickHouse database as ingestion grows.
Ratings and review counts come from public review platforms. We link to the original source and keep the underlying review text out of this profile.
User reviews
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