SI

Software Observability & Error Monitoring · B2B SaaS Provider

SigNoz

Open-source observability and APM platform for engineering teams.

Available information varies by company and source.

Profile record updated:

Company facts

Entity type
COMPANY
Market cluster / sector
Software Observability & Error Monitoring
Market role
B2B SaaS Provider
Official website
signoz.io

What SigNoz does

SigNoz uses an open-core software model. It distributes a free self-hosted community product to build adoption among developers and infrastructure teams, then converts that usage into paid recurring revenue through managed cloud subscriptions and enterprise-managed deployments. Value is created by reducing observability cost and lock-in, unifying telemetry workflows, and supporting both cloud-hosted and customer-hosted operating models.

Category differentiation

SigNoz is an observability and APM software platform, not a general cloud infrastructure provider or a foundational AI model company. It competes with monitoring vendors such as Datadog and New Relic rather than with general-purpose developer tools alone.

Strategic context

AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.

SigNoz is a private B2B software company that provides an open-source, OpenTelemetry-native observability platform for engineering, SRE and platform teams. Its core product unifies logs, metrics, traces, dashboards and alerting for application performance monitoring and troubleshooting. The company sells the platform in multiple commercial forms, including a fully managed cloud service and managed enterprise deployments within customer infrastructure. The business runs an open-core model. The free Community Edition drives adoption among developers, while SigNoz monetises through usage-based pricing on telemetry ingestion, enterprise-managed deployments, premium support and related services. Its paying customers are startups, enterprises and regulated organisations that need observability without per-seat or per-host pricing and want either hosted convenience or data control in self-managed environments.

Company news briefing

Briefing updated:

SigNoz is solidifying its AI observability footprint through the "Agents of SigNoz" hackathon, which recently showcased advanced implementations for RAG quality monitoring, multi-agent coordination, and LLM-specific FinOps pipelines. These developments highlight the platform’s capacity to track GPU telemetry and token-level costs whilst managing automated failover diagnostics. Furthermore, technical updates regarding ClickHouse v25 integration and service version comparison tools reinforce SigNoz’s utility for developers managing both sophisticated AI-driven workflows and traditional self-hosted infrastructure.

Business model & monetisation

SigNoz monetises through a hybrid open-core and usage-based SaaS model. The Community Edition is free and self-hosted. Revenue comes primarily from SigNoz Cloud, which is priced on telemetry ingestion volume rather than seats or hosts, and from enterprise-managed deployments operated inside customer infrastructure. Additional monetisation comes from premium support, managed operations and professional services tied to enterprise adoption.

SigNoz Cloud
Usage-based SaaS subscription
Managed on-prem enterprise deployments
Service Fee
Enterprise support and premium support plans
Service Fee
Professional services and implementation support
Service Fee

Products & capabilities

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Competitors & alternatives

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Monitor company
  • Usage-based observability software for enterprise engineering teams.

  • Open-source observability platform with cloud and enterprise subscriptions.

  • Enterprise observability and analytics SaaS for complex cloud environments.

  • Cloud observability software for infrastructure, applications, logs, and telemetry.

  • OpenTelemetry observability and AI operations software for engineering teams.

Recent recorded signals

Dates refer to the source publication. Older entries are historical context, not evidence of a new event.

  • Deploying SigNoz with ClickHouse v25 and OTel Gotchas

    dev.to

    Application Performance Monitoring · Recorded impact score: 1/5

    A developer describes troubleshooting and deployment patterns for self-hosting SigNoz in 2026, focusing on ClickHouse v25 configuration changes, OpenTelemetry Collector incompatibilities, and Docker network isolation. Key recommendations include using config.d/users.d for ClickHouse overrides (instead of replacing the main config), enforcing a deterministic docker-compose boot sequence with one-shot migrator containers (signoz_init_clickhouse and signoz_telemetrystore_migrator), updating exporter names and image tags for the OTel collector (use signozclickhousemetrics and include the 'v' prefix), and relying on internal Docker network isolation rather than per-component passwords to simplify connectivity. The post emphasizes that maintaining self-hosted observability infrastructure requires ongoing engineering effort.

    • Author self-hosted SigNoz for Verne Software to control telemetry data.
    • ClickHouse v25+ changes require using config.d/ and users.d/ for overrides instead of replacing the main config file.

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Questions about SigNoz

What is SigNoz?

SigNoz is an open-source observability and APM platform that unifies logs, metrics, traces, dashboards and alerting for engineering teams.

Who uses SigNoz?

Platform engineers, SREs, developers, DevOps teams and enterprises use SigNoz for application monitoring, troubleshooting and operational visibility.

How does SigNoz make money?

SigNoz makes money from usage-based cloud subscriptions, managed enterprise deployments, support plans and related professional services.

Sources & coverage

This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.

16 publicly documented primary sources and citations linked across the market graph.

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