databuff logo

databuff

databufflabs/databuff

AI-native OpenTelemetry APM with multi-agent root-cause analysis

GraphCanon updated Sep 10, 2026 · GitHub synced Sep 10, 2026

30views this month

665 stars130 forksLast push Sep 10, 2026 Java AGPL-3.0

Decision brief

DataBuff is an AI-native open-source APM software that integrates OpenTelemetry standards to offer full-chain monitoring, service topology analysis, and AI assistance in problem-solving for cloud-native scenarios.

Good fit when

  • Use DataBuff when you need AI-driven root-cause analysis capabilities across traces, metrics, and service topologies.
  • If your application stack heavily relies on LLMs for query and tracking data directly from traces and metrics, DataBuff's AI workbench could be particularly beneficial.

Avoid when

  • DataBuff may not be suitable when you require real-time eBPF APM capabilities, as this feature is still under development.
  • Do not use DataBuff if your monitoring requirements do not involve the use of AI to handle multiple agents and their coordination for complex problems.
Hosting:
self hosted
Pricing:
freemium - Open-source under the AGPL-3.0 license, no cost for use but with obligations.

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 10, 2026
Provenance
Not a fork · Personal account
As of Sep 10, 2026
Security (OSV)
No lockfile
As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/databufflabs/databuff

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

DataBuff is an AI-native open-source application performance monitoring (APM) software designed for AI agents, microservices, and cloud-native scenarios. It integrates with OpenTelemetry standards to provide full-chain monitoring, service topology, RED metrics, and an AI workbench.

Capability facts

Languages
java

Source: github.language · Sep 10, 2026

Categories

Tags

README

Quick Start in 5 Minutes 1. Install platform — one command to launch Ingest + Doris + Web 2. Install demo (optional) — auto report traces and see topology quickly 3. Connect a model → start troubleshooting — open , login / , add API key to enable AI <details <summary <b Offline i...

For agents

This page has a .md twin and JSON over the API.

Was this helpful?

Anonymous feedback helps us improve pages and translations.