Langfuse
8.2#1 in prompting toolFrom $29 a monthFree planWebAPILinuxSelf-hosted
VisitLangfuse vs LangWatch
What both publish
| Fact | Langfuse | LangWatch |
|---|---|---|
| Documentation | Documentation covers observability, prompt management, evaluation, metrics, APIs, SDKs, integrations, compatibility, deployment, and security with versioned self-hosting guides. | Documentation covers introduction, integrations, CLI, MCP, agent testing, observability, evaluations, datasets, prompt management, self-hosting and API reference. |
| Evaluations | Evaluation supports LLM-as-a-Judge, heuristic or code evaluators, human review, annotation queues, and scoring of production data or experiments. | The platform supports offline and online evaluations, CI/CD gates, multimodal scoring, built-in evaluators and custom workflows. |
| Funding | Crunchbase lists one seed funding round with five investors, including Y Combinator, La Famiglia, and Lightspeed Venture Partners, but hides the total amount. | Crunchbase lists LangWatch as a private pre-seed company with two funding rounds and investors including Volta Ventures and Antler. |
| Headquarters | Berlin, Germany; San Francisco, United States | Amsterdam |
| Integrations | Langfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools. | Official integrations cover OpenAI, Anthropic, Google Gemini, Bedrock, Azure OpenAI, Vertex AI, Groq, Ollama and LiteLLM. |
| Licence | Langfuse states that all product features are MIT licensed, while a separate Enterprise license covers governance features such as project RBAC, audit logs, SCIM, and retention policies. | The core platform is Apache 2.0; enterprise modules require a commercial production licence and the SDKs are MIT licensed. |
| Observability | Hierarchical traces capture LLM calls, tool invocations, and retrieval steps, with filtering by user, session, cost, latency, and metadata. | Tracing captures nested agent spans, sessions, users, token usage, cost, topics and multimodal payloads. |
| Product | Langfuse is an open-source AI engineering platform that helps teams collaboratively debug, analyze, and iterate on AI agent applications. | LangWatch describes itself as an AI agent engineering platform for helping teams ship reliable agents to production. |
| Prompt management | Prompt Management provides versioning, one-click deployments, rollbacks, prompt labels, and per-version performance metrics. | Prompts can be versioned through code, UI and API, templated with Liquid, synced with GitHub and compared in experiments. |
| Rating on G2 | 4.5 out of 5 from 1 review | 0.0 out of 5 from 0 reviews |
| Security | Langfuse reports annual SOC 2 Type II and ISO 27001 audits, external penetration tests, encryption, access controls, GDPR compliance, and a HIPAA-ready region. | The trust center states AES-256 encryption at rest, TLS 1.2+ in transit, AWS KMS, RBAC, MFA, SSO, encrypted backups and GDPR controls. |
| Self-hosting | The OSS edition can be deployed with Docker Compose, Kubernetes Helm, or Terraform guides for AWS, GCP, and Azure, including offline or air-gapped installations. | Self-hosting is available with a Node.js command for local use and Docker, Kubernetes/Helm or VPC deployment options. |
Langfuse plans
- HobbyFree
- Core$29 a month
- Pro$199 a month
- Teams Add-on$300 a month
- Enterprise$2,499 a month
LangWatch plans
- DeveloperFree
- Growth€29 a month
- EnterprisePriced on request
Pick Langfuse if…
Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools. It also supports teams that want to self-host the core on their own infrastructure.
Pick LangWatch if…
LangWatch suits AI teams shipping agents, including developers, product owners, QA, and domain experts working on evaluation workflows. Teams can choose managed cloud, self-hosted, or hybrid deployment.