LangWatch vs MLflow Tracing
LangWatch
langwatch.aiMLflow Tracing
mlflow.orgSide by side
| Figure | LangWatch | MLflow Tracing |
|---|---|---|
| Price from | €29/mo | Free |
| 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 | 3 | 1 |
| Spec score · AI Agent Observability Tools | 9.1 (#5) | 8.4 (#10) |
| Spec score · AI LLM Observability Tools | 9.1 (#4) | 8.4 (#11) |
| Company founded | LinkedIn lists LangWatch as founded in 2023. | Databricks says it was founded in 2013 by the creators of Apache Spark, Delta Lake, MLflow, and Unity Catalog. |
| Company headquarters | LinkedIn lists headquarters at Herengracht 551, Amsterdam, Netherlands. | Databricks says it is headquartered in San Francisco. |
| Documentation | Documentation covers introduction, integrations, CLI, MCP, agent testing, observability, evaluations, datasets, prompt management, self-hosting and API reference. | MLflow documentation has separate sections for LLM and agent development, tracing, and evaluation, and for traditional machine-learning workflows. |
| Integrations | Official integrations cover OpenAI, Anthropic, Google Gemini, Bedrock, Azure OpenAI, Vertex AI, Groq, Ollama and LiteLLM. | The integrations directory organizes automatic tracing support across frameworks, coding agents, and model providers. |
| Licence | The core platform is Apache 2.0; enterprise modules require a commercial production licence and the SDKs are MIT licensed. | The public MLflow repository identifies its licence as Apache-2.0. |
| Rating on G2 | 0.0 out of 5 from 0 reviews | No product rating or review count for MLflow Tracing is stated on the opened G2 MLflow marketplace page. |
| Self-hosting | Self-hosting is available with a Node.js command for local use and Docker, Kubernetes/Helm or VPC deployment options. | The repository's setup instructions show starting an MLflow server locally and connecting tracing to it. |
| What it does | LangWatch is an AI-agent engineering platform for testing, evaluating, observing, governing and improving agents across development and production. | MLflow Tracing records inputs, outputs, and metadata for intermediate steps in LLM applications and AI agents so teams can inspect behavior and investigate issues. |
Plans
In their own words
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.
MLflow Tracing
MLflow Tracing has no write-up on Specifiction yet; its figures are above.