DataBuff is an open-source, AI-native APM platform focused on application performance monitoring and distributed tracing. It natively supports OpenTelemetry OTLP and SkyWalking agents, allowing seamless ingestion without changing probes. The three-component architecture (ingest, storage/query, web UI) can be deployed privately via Docker. AI capabilities enable natural language queries over metrics, traces, topology, and alerts for faster fault diagnosis. It is designed for SRE teams needing controllable, self-hosted observability with modern AI assistance.
DataBuff sits in PulseGate's Observability & monitoring category. It focuses on monitoring and troubleshooting complex distributed applications with traditional APM tools that lack AI assistance. DataBuff is an open-source project aimed at SREs and DevOps engineers. The project is open source (Open Source). It runs on the web and the command line, and it can be self-hosted.
It is developed by DataBuff (China), and it first shipped in 2025. Key capabilities include Docker Install, AI Query, and Trace Analysis. The interface is available in English and Chinese. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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