SigNoz Review (2026)

The question SigNoz actually answers

Most tools in this category answer “which LLM observability platform should I buy.” SigNoz answers a different question that many teams are actually asking: how do I see my LLM calls alongside everything else without paying Datadog prices?

SigNoz is a full-stack observability platform - traces, logs and metrics in one backend - that treats LLM telemetry as one workload among many. For LLM specifically it covers token-level tracing, per-model cost attribution, prompt latency breakdown and inference pipeline metrics, all via OpenTelemetry.

The differentiator it claims, and it is a fair one, is that unlike LLM-only tools the AI layer correlates with your entire infrastructure - databases, microservices, applications. When an agent request takes eleven seconds, you can see whether it was the model or the Postgres query underneath it in the same trace.

Datadog offers this too, and does it better. SigNoz offers it for free if you self-host, or from $19 a month if you do not. For teams whose Datadog invoice is the actual problem, that is a substantive answer rather than a marketing line.

Pricing, and what “free” leaves out

Tier	Price	What you get
Community (self-hosted)	$0	Full platform, no license cost, no SSO
Cloud (Startup Program)	$19/mo	50% off standard, usage-based
Cloud	$49/mo	~163 GB logs and traces or 490M metric samples, SSO/SAML
Enterprise	Custom	Volume commitments, dedicated support

The Startup Program at 50% off is a genuinely useful discount for early-stage teams and not something most competitors offer.

Now the honest part about self-hosting, which SigNoz’s competitors raise and which we think is correct: the license is free, the deployment is not.

You are running ClickHouse. It is a columnar analytics database and it wants real resources - this is not a container you forget about. On top of the servers, you own setup, maintenance, upgrades, and the on-call burden when your monitoring infrastructure itself breaks. That last one deserves emphasis because it is a genuinely nasty failure mode: the system you would use to diagnose an outage is the system that is down.

For a team with existing infrastructure capability, this is very reasonable and the savings are real. For a small team without it, cloud at $19 or $49 a month is almost certainly cheaper once you price engineering time honestly. Be truthful with yourself about which team you are.

No lock-in, by construction

One of the better things about this stack is how easy it is to leave.

OpenLIT provides the LLM instrumentation and SigNoz provides the backend. They are complementary, not competing. Setup is minimal - call openlit.init() with an otlp_endpoint and otlp_headers carrying your SigNoz access token, or just set OTEL_EXPORTER_OTLP_ENDPOINT and OTEL_EXPORTER_OTLP_HEADERS.

Because OpenLIT simply emits OTLP, the pipeline is not lock-in. If SigNoz stops suiting you, repoint at a different OTel backend with an environment variable change. No re-instrumentation.

This reflects a broader convergence worth noting: the LLM observability landscape has largely settled on OpenTelemetry’s GenAI semantic conventions. Instrumenting against that standard rather than a vendor SDK is, in a category where three vendors died or were absorbed in the last eighteen months, a genuinely defensive choice.

What it does not do

No evaluation. At all.

No LLM-as-judge scoring, no evaluation datasets, no regression testing, no prompt management or versioning. SigNoz is an observability backend and does not pretend otherwise.

This is not a flaw so much as a scope boundary, but it changes your architecture. If evaluation is part of your requirement, you are pairing SigNoz with DeepEval, promptfoo or Ragas, and running two tools. That is a perfectly sensible stack - arguably better than a mediocre all-in-one - but price and staff it as two things.

The other gap: SSO and SAML are cloud-only. The core observability features are not gated, which is more honest than Arize Phoenix withholding online monitoring from its open-source build. But many organisations mandate SSO, and that single requirement will push some teams to cloud regardless of their ability to self-host.

Should you use it?

Use SigNoz if you want one backend for your whole stack rather than an LLM silo, your Datadog bill is a live problem, and you either have ClickHouse capacity or will pay for cloud.

Don’t use it if you need evaluation, datasets or prompt management in the same tool, or you are a small team with no infrastructure capability and are attracted only by the word “free.”

Bottom line: a credible open-source Datadog alternative that handles LLM workloads properly as part of full-stack observability. The OpenTelemetry foundation means adopting it costs you very little optionality. Just be clear that it is an observability backend and not an evaluation platform, and be honest about whether you want to run ClickHouse.

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Pricing and integration details verified against SigNoz documentation and third-party comparisons on 31 July 2026. This is a researched directory entry - we have not yet instrumented this platform with our reference application.