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Comparison · Langfuse

Perimattic AI Suite vs Langfuse

Langfuse is a well-regarded open-source LLM observability platform with its own SOC 2 Type II and ISO 27001 audits. Here is how the two compare on verified facts, and where Perimattic AI Suite takes a different approach.

Last reviewed by the Perimattic AI Suite team

In short

How is Perimattic AI Suite different from Langfuse?

Both ingest OpenTelemetry traces and both trace LLM calls, agents and evaluations. Langfuse is open source, free to self-host and strong on prompt management and datasets. Perimattic AI Suite is built for regulated teams: it organises traces, evaluation scores and access records into evidence mapped to HIPAA, SOC 2, the EU AI Act and DORA. If you want open-source tracing you run yourself, Langfuse is a sound choice.

  • The same instrumentation works for both

    If your services already send OTLP spans to Langfuse, the same OpenTelemetry setup can export to Perimattic AI Suite too. A collector can send to both while you compare.

  • Different starting points

    Langfuse starts from the developer workflow: tracing, prompt versions, datasets and experiments. Perimattic AI Suite starts from the evidence a compliance team has to hand to an auditor.

Overhead view of a developer desk with two monitors of code and a laptop

Comparison

Langfuse and Perimattic AI Suite side by side

Each Langfuse cell comes from Langfuse’s own documentation. Where a Perimattic AI Suite detail is still agreed per customer during early access, the table says so instead of guessing.

Comparison of Langfuse and Perimattic AI Suite
DimensionLangfusePerimattic AI Suite
Licence and sourceOpen-source core under MIT; enterprise features under a commercial licenceCommercial product. Instrumentation uses the open-source OpenTelemetry SDKs.
DeploymentLangfuse Cloud (US, EU, Japan, HIPAA regions) or self-hostedHosting model and region agreed with each team during early access
OpenTelemetryNative OTLP/HTTP endpoint that maps gen_ai.* attributesBuilt on the OpenTelemetry GenAI semantic conventions
Vendor securitySOC 2 Type II and ISO 27001 audited annually; GDPR; HIPAA-ready regionReviewed with your security team before any production data is sent
Prompt managementBuilt in, with versioning and a playgroundNot a focus. Keep your existing prompt tooling.
EvaluationLLM-as-a-judge, user feedback, manual annotation and datasetsFaithfulness, hallucination and RAG metrics scored on live traffic
Regulation mappingGeneral-purpose traces and scores; mapping them to a regulation is up to your teamEvidence records mapped to HIPAA, SOC 2, EU AI Act and DORA obligations
PricingPublished: free tier, then $29 to $2,499 per month plus usage. Self-hosting the open-source core is free.Not published yet; discussed with each early-access team
Best forTeams that want open-source tracing, prompt management and the option to self-hostRegulated teams that need production telemetry turned into audit evidence

Langfuse details last verified on 1 October 2026 from Langfuse’s own pages. Pricing and features change often, so check the source before you decide.

Which one fits your team

  • Choose Langfuse if you want open-source LLM tracing you can self-host without a licence fee, or if prompt management sits at the centre of your workflow.
  • Choose Perimattic AI Suite if your compliance team has to show auditors how an AI system behaved, and you want that evidence to come straight from production telemetry.
  • Not sure yet? Point an OpenTelemetry Collector at both backends and compare them on your own traces before you commit.

Langfuse alternatives

Other Langfuse alternatives teams shortlist

Most teams comparing Langfuse end up with three or four options. Here is the honest case for each, so you can rule tools in or out quickly. For a head-to-head of the two most common choices, read LangSmith vs Langfuse.

  • LangSmith

    LangChain’s tracing and evaluation platform. It accepts OpenTelemetry traces from any application, and its integration is deepest for LangChain and LangGraph. Self-hosting is part of the Enterprise plan.

  • Datadog Agent Observability

    Datadog’s product for LLM and agent monitoring (previously called LLM Observability). A natural fit when your infrastructure monitoring already runs on Datadog. It supports the OpenTelemetry GenAI conventions natively.

  • Your own OpenTelemetry backend

    Some teams store GenAI spans in a tracing backend they already run and build evaluation on top. Lowest licence cost, highest engineering effort, and you own every dashboard and export.

FAQ

Common questions

Short answers to the questions teams ask when they compare these tools.

Is Langfuse open source?

Yes. The Langfuse core is released under the MIT licence, and you can self-host it without paying a licence fee. Some enterprise features live in separate ee/ folders under a commercial licence, so check which features you need before planning a free self-hosted deployment.

Does Langfuse support SOC 2 or HIPAA requirements?

Langfuse states that it completes annual SOC 2 Type II and ISO 27001 audits, is GDPR compliant, offers a data processing agreement and runs a separate HIPAA-ready cloud region. Request the current reports from Langfuse as part of your vendor review.

What does Perimattic AI Suite add for regulated teams?

It is organised around the evidence a compliance team has to produce. Traces, evaluation scores and access records become records mapped to the obligations in HIPAA, SOC 2, the EU AI Act and DORA, so an auditor’s request can be answered from production telemetry. It supports your compliance programme; it does not certify compliance.

Can I send the same traces to Langfuse and Perimattic AI Suite?

Yes. Both accept OpenTelemetry data. An OpenTelemetry Collector can export the same spans to more than one backend, which is the simplest way to compare tools on your own workloads without touching application code.

How does Langfuse pricing compare with Perimattic AI Suite?

Langfuse Cloud has a free Hobby plan and paid plans from $29 per month, with usage billed per 100,000 units (traces, observations and scores) above each plan’s allowance. Self-hosting the open-source core is free. Perimattic AI Suite pricing is discussed with each early-access team. The LLM observability cost calculator lets you model costs for your own trace volumes.