Langfuse vs SigNoz

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

SigNoz is the stronger AI pick in Observability: it has a visibility score of 12.3 versus 1.4 for Langfuse, and ranks ahead in 100% of the answers that name both.

Choose Langfuse if…

You want a free plan to start
AI answers describe it more positively (50% vs 44% positive)
You need ISO 27001 or HIPAA-ready region or GDPR coverage
Discounted cloud pricing for qualifying early-stage startups

Choose SigNoz if…

You want the brand AI engines rank higher (12.3 vs 1.4)
You need HIPAA coverage
Cost-effective open-source alternative to Datadog and New Relic
Native OpenTelemetry observability platform

AI visibility side by side

Latest weekly run · Nov 3

Metric	Langfuse	SigNoz
Visibility score	1.4%	12.3%
Change vs last week	New	New
Rank in Observability	#27	#10
Share of voice	0.4%	3.7%
Mentions this run	2	22
Positive in AI answers	50%	44%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Langfuse 0pp · SigNoz 0pp over 0 weekly runs.

Engine by engine

SigNoz leads on 3 of 3 engines

ChatGPT

16.1%

AI Mode

7.6%

Perplexity

4.1%

13.2%

LangfuseSigNoz

Head to head in AI answers

1 engine answers name both brands

0Langfuse ranked higher

1SigNoz ranked higher

Prompt	Engine	Langfuse	SigNoz
Which observability tools offer annual discounts?	Perplexity	#10	#8

Features, pricing & fit

Dimension	Langfuse	SigNoz
Pricing model	Usage-based	Usage-based
Entry price	Free; paid from $29 / mo	$49 / mo
Free plan	Yes	No
Deployment	Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license	SigNoz Cloud (managed, with US, EU and India regions), bring-your-own-cloud, or self-hosted
Integrations	100+	—
Compliance	SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR	SOC 2 Type II, HIPAA
Support	Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans	Community support on Slack, Email support, In-product chat support, Dedicated Slack, email and in-product support on Enterprise plans
Founded	—	2020
Headquarters	—	San Francisco, CA
Employees	—	11–50
Funding	Seed · $4M raised	Unnamed round after Y Combinator participation · $7M raised
Best for	Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation	Fast-scaling engineering teams that want usage-based pricing, and solo developers and small startups that want to self-host.