LangWatch
8.2#4 in ai agent observability toolsFrom €29 a monthFree planWebAPILinuxmacOS
VisitLangWatch vs Lunary
What both publish
| Fact | LangWatch | Lunary |
|---|---|---|
| Company headquarters | LinkedIn lists headquarters at Herengracht 551, Amsterdam, Netherlands. | LinkedIn lists Lunary's headquarters in San Francisco, California, at 166 Geary Street, 15th Floor. |
| Company size | LinkedIn lists the company size as 11–50 employees. | LinkedIn lists Lunary's company size as 11–50 employees. |
| Compliance | LangWatch states ISO 27001 certification, GDPR compliance, EU data residency and SOC 2 coverage through AWS. | Lunary says it is SOC 2 Type 2 certified and ISO 27001:2022 compliant, and that audit reports are available to Scale and Enterprise customers upon request. |
| Deployment | LangWatch offers managed cloud, self-hosted, and hybrid deployment; its pricing page says self-hosting uses Docker Compose and the customer's ClickHouse. | Enterprise customers can deploy Lunary in their own VPC using Kubernetes or Docker. |
| Evaluations | The platform supports offline and online evaluations, CI/CD gates, multimodal scoring, built-in evaluators and custom workflows. | The evaluation product compares models, settings and prompts against datasets and can run from a dashboard or CI pipeline. |
| Headquarters | Amsterdam | San Francisco, California, United States |
| Integrations | Official integrations cover OpenAI, Anthropic, Google Gemini, Bedrock, Azure OpenAI, Vertex AI, Groq, Ollama and LiteLLM. | The integrations directory lists Anthropic, Flowise, LangChain, OpenRouter, IBM WatsonX, Mistral, Grok, Fireworks AI, Ragas, Gemini, AWS Bedrock, OpenAI, Azure OpenAI, LiteLLM and other sources. |
| Observability | Tracing captures nested agent spans, sessions, users, token usage, cost, topics and multimodal payloads. | The product monitors and debugs LLM calls, agents, traces and error stack traces. |
| Product | LangWatch describes itself as an AI agent engineering platform for helping teams ship reliable agents to production. | Lunary describes itself as an AI platform for enterprises and a platform for developers of AI chatbots and other LLM-powered applications. |
| Prompt management | Prompts can be versioned through code, UI and API, templated with Liquid, synced with GitHub and compared in experiments. | Prompt templates support collaboration, versioning and A/B testing. |
LangWatch plans
- DeveloperFree
- Growth€29 a month
- EnterprisePriced on request
Lunary plans
- Team$20 a month
- EnterprisePriced on request
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.
Pick Lunary if…
Lunary suits enterprise teams and developers operating LLM applications who need tracing, analytics, prompt management, or evaluations. Self-hosting may suit customers wanting control of their data.