Langfuse vs OpenObserve

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

The short answer

OpenObserve is the stronger AI pick in Observability: it has a visibility score of 3.6 versus 1.4 for Langfuse, and ranks ahead in 100% of the answers that name both.

Choose Langfuse if…

AI answers describe it more positively (50% vs 25% positive)
You need SOC 2 Type II or ISO 27001 or HIPAA-ready region or GDPR coverage
Discounted cloud pricing for qualifying early-stage startups
Well suited to evaluating and debugging LLM or agent behavior

Choose OpenObserve if…

You want the brand AI engines rank higher (3.6 vs 1.4)
You want a lower entry price ($0.5 vs $29)
You need more native integrations (150+ vs 100+)
transparent pay-as-you-go pricing

AI visibility side by side

Latest weekly run · Nov 3

Metric	Langfuse	OpenObserve
Visibility score	1.4%	3.6%
Change vs last week	New	New
Rank in Observability	#27	#16
Share of voice	0.4%	1.4%
Mentions this run	2	8
Positive in AI answers	50%	25%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

OpenObserve leads on 3 of 3 engines

ChatGPT

AI Mode

2.6%

Perplexity

4.1%

8.3%

LangfuseOpenObserve

Head to head in AI answers

1 engine answers name both brands

0Langfuse ranked higher

1OpenObserve ranked higher

Prompt	Engine	Langfuse	OpenObserve
Which observability tools offer annual discounts?	Perplexity	#10	#6

Features, pricing & fit

Dimension	Langfuse	OpenObserve
Pricing model	Usage-based	Usage-based
Entry price	Free; paid from $29 / mo	Free; paid from $0.5 / mo
Free plan	Yes	Yes
Deployment	Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license	Open-source self-hosted, OpenObserve Cloud, or Bring Your Own Cloud
Integrations	100+	150+
Compliance	SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR	—
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	Premium support on the Enterprise plan, Architecture reviews on the Enterprise plan, SLAs on the Enterprise plan
Founded	—	2022
Headquarters	—	San Francisco, CA
Employees	—	11–50
Funding	Seed · $4M raised	Seed
Best for	Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation	Teams that want to keep all their logs, metrics and traces without Elasticsearch-level storage bills or Datadog-style per-host fees.