How SigNoz Pricing and Deployment Choice Work

SigNoz uses simple usage-based pricing for its managed cloud, and also offers a self-hosted edition you run on your own infrastructure. If you want someone else to operate the observability backend, choose SigNoz Cloud; if you need to keep telemetry on infrastructure you control, choose Self-Hosted SigNoz. The site provides a Pricing page and a monthly bill estimator so you can turn your expected telemetry volume into a cost figure before committing.

What the pricing model is

SigNoz describes its pricing as "simple usage-based pricing" that "stays predictable as you scale." That means your bill tracks how much telemetry you actually send and store rather than a flat per-seat license.

Two practical implications:

  • Cost scales with usage. More traces, logs, metrics, and spans generally mean a higher bill, so the estimator is the right tool for forecasting rather than guessing.
  • Predictability is a stated goal. The pricing page and calculator exist specifically so you can model monthly spend ahead of time.

The site does not publish specific per-unit rates in the material available here, so use the pricing calculator to get numbers for your own workload.

Cloud vs. self-hosted: the real decision

Both options run on the same OpenTelemetry-native platform. The difference is who operates it and where the data lives.

Dimension SigNoz Cloud Self-Hosted SigNoz
Who runs the backend SigNoz (managed) Your team, on your infrastructure
Data location SigNoz-managed environment Your own infrastructure
Operational burden Lower — no backend to maintain You handle deployment, scaling, upgrades
Cost shape Usage-based pricing Your own infrastructure cost
Best when You want to move fast without running storage/query infra You need data control or already run the infrastructure

The site frames this as "the freedom to run on your infrastructure with Self-Hosted SigNoz" alongside SigNoz Cloud as the managed path.

What you get in either case

The platform is positioned as a one-stop observability tool covering:

  • APM — P99, Apdex, database calls, and external calls per service
  • Logs — columnar database search with trace correlation built in
  • Tracing — load and analyze traces with up to a million spans
  • Alerts — threshold, anomaly, and Apdex alerts on any telemetry signal
  • LLM observability — OpenAI, Azure OpenAI, Gemini, OpenRouter, LiteLLM, and agent telemetry
  • Infra monitoring — Kubernetes, hosts, and cloud metrics next to every service
  • Dashboards — reusable templates for services, infra, cloud, databases, and LLM usage

It is built on OpenTelemetry, so instrumentation is vendor-neutral rather than tied to a proprietary agent.

How to estimate your cost

  1. Open the Pricing page and the monthly bill estimator.
  2. Enter your expected telemetry volume — the signals you plan to send (traces, logs, metrics) and roughly how much.
  3. Read the projected monthly figure and compare it against your budget.
  4. If the number works, start on SigNoz Cloud; if data control or existing infrastructure makes self-hosting cheaper or required, plan a self-hosted deployment instead.

Compliance and security signals

For teams that need to clear procurement, the site states SOC 2 Type II compliance and HIPAA compliance, and links a Trust Center. These are relevant if your deployment choice is constrained by data-handling requirements — check them against your own obligations before deciding.

Choosing between the two

  • Pick SigNoz Cloud if you want the fastest path, don't want to run storage and query infrastructure, and are comfortable with usage-based spend.
  • Pick Self-Hosted SigNoz if telemetry must stay on infrastructure you control, or if you already operate the underlying systems and prefer to absorb the cost there.
  • In both cases, run your numbers through the estimator first — the deployment decision and the budget decision are linked, and the calculator is the intended way to connect them.
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SigNoz Cloud is a one-stop observability tool built on top of OpenTelemetry. Get APM, logs, traces, metrics, exceptions, AI observability & alerts in…