Langfuse vs LangWatch
Langfuse
langfuse.com
LangWatch
langwatch.aiSide by side
| Figure | Langfuse | LangWatch |
|---|---|---|
| Price from | $29/mo | €29/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 10 | 3 |
| Spec score · Model Monitoring Software | 9.0 (#3) | 9.0 (#5) |
| Spec score · AI LLM Evaluation Tools | 9.1 (#4) | 9.1 (#6) |
| Spec score · LLM Observability Tools | 9.0 (#4) | 9.0 (#6) |
| Spec score · Llm Monitoring | 8.9 (#5) | 8.9 (#7) |
| Spec score · AI Agent Observability Tools | 9.0 (#6) | 9.1 (#5) |
| Spec score · AI LLM Observability Tools | 9.0 (#5) | 9.1 (#4) |
| 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. |
| Support | Hobby includes community support via GitHub, Core includes in-app support, Pro includes prioritized in-app support, and Enterprise includes support SLA and a named lead support engineer. | Developer users receive GitHub and Discord community support, while Growth includes private Slack or Teams support. |
| System requirements | The Kubernetes deployment guide requires Kubernetes 1.28 or newer, Helm 3.17 or newer, ClickHouse 25.12 minimum, Postgres 16 recommended, and Redis 7.2 recommended. | The self-host command requires Node.js 24 or newer on macOS or glibc-based Linux. |
Plans
Langfuse
- HobbyFree
- HobbyFree
- Core$29 a month
- Core$29 a month
- Pro$199 a month
- Pro$199 a month
- Teams Add-on$300 a month
- Teams Add-on$300 a month
- Enterprise$2,499 a month
- Enterprise$2,499 a month
In their own words
Langfuse
Langfuse is an open-source AI engineering platform for teams debugging, analyzing, and iterating on AI agent applications. Its tracing records prompts, model responses, token use, latency, tool calls, retrieval steps, and metadata. Prompt Management stores, versions, deploys, and tests prompts, then links them to traces. Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. Integrations include Python and JS/TS SDKs, OpenTelemetry, an API, CLI, MCP Server, and popular AI frameworks. Teams can self-host the MIT-licensed core on customer infrastructure using Docker, with options including Docker Compose, Kubernetes, AWS, and Azure. Langfuse reports annual SOC 2 Type 2 and ISO 27001 audits, external penetration tests, GDPR compliance, a DPA, and a HIPAA-ready region. Its Cloud traffic uses TLS 1.2+ and stored data uses AES-256 encryption. The free Hobby plan is free and includes 50k units per month, 30 days of data access, two users, and community support via GitHub. Core costs $29 a month, billed monthly.
LangWatch
LangWatch is an AI agent engineering platform for teams preparing agents for production. Simulations cover multi-turn conversations, tool use, recovery, and business outcomes before launch. Evaluations can run on datasets, production traffic, or in CI/CD workflows that gate merges. Traces show agent steps alongside cost, tokens, duration, errors, evaluations, and annotations. Integrations include Python and TypeScript SDKs, OpenTelemetry, REST ingestion, model providers, and frameworks such as LangGraph, LangChain, CrewAI, and DSPy. Voice-agent testing supports OpenAI Realtime, Gemini, ElevenLabs, Google Live API, Pipecat, WebSocket bots, and Twilio. Deployment options are managed cloud, self-hosted, and hybrid; self-hosting uses Docker Compose and the customer’s ClickHouse. LangWatch is open source under Apache 2.0. The Developer plan costs nothing and includes 50k events per month, 14-day data access, and two users. Growth costs €29 a month per core seat and includes 200k events. The trust center lists encryption, access controls, privacy features, and enterprise DPAs.