Dynatrace vs Langfuse

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

The short answer

Dynatrace is the stronger AI pick in Observability: it has a visibility score of 39.9 versus 1.4 for Langfuse, and ranks ahead in 50% of the answers that name both.

Choose Dynatrace if…

You want the brand AI engines rank higher (39.9 vs 1.4)
You want a lower entry price ($1.4 vs $29)
You need more native integrations (952+ vs 100+)
You need SOC 1 Type II or FedRAMP Moderate or HIPAA coverage

Choose Langfuse if…

You want a free plan to start
AI answers describe it more positively (50% vs 35% positive)
You need a self-hosted or on-premises option
You need HIPAA-ready region or GDPR coverage

AI visibility side by side

Latest weekly run · Nov 3

Metric	Dynatrace	Langfuse
Visibility score	39.9%	1.4%
Change vs last week	New	New
Rank in Observability	#4	#27
Share of voice	8%	0.4%
Mentions this run	47	2
Positive in AI answers	35%	50%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Dynatrace leads on 3 of 3 engines

ChatGPT

39.4%

AI Mode

44.8%

Perplexity

35.6%

4.1%

DynatraceLangfuse

Head to head in AI answers

2 engine answers name both brands

1Dynatrace ranked higher

1Langfuse ranked higher

Prompt	Engine	Dynatrace	Langfuse
Best observability platform with AI features	Perplexity	#4	#2
Which observability tools offer annual discounts?	Perplexity	#4	#10

Features, pricing & fit

Dimension	Dynatrace	Langfuse
Pricing model	Usage-based	Usage-based
Entry price	$1.4 / mo	Free; paid from $29 / mo
Free plan	No · 15-day trial	Yes
Deployment	SaaS, with a choice of data residency across global data centers	Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license
Integrations	952+	100+
Compliance	ISO 27001, SOC 2 Type II, SOC 1 Type II, FedRAMP Moderate, HIPAA	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
Headquarters	Boston, Massachusetts, United States	—
Employees	5,000+	—
Funding	IPO	Seed · $4M raised
Best for	Large enterprises running cloud-native, hybrid and AI workloads that want one platform for observability and security	Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation