DataBuff
The facts below are what the maker publishes about DataBuff, checked and dated. Our editors have not written about it yet.
The facts
Each one read from DataBuff's own pages, with the date it was checked.
What it does
- Agent access
- Cursor, Claude Code, and OpenClaw/AMC can connect as external agents through the MCP endpoint.checked 11 Oct 2026
- AI analysis
- Its AI can query traces, metrics, topology, and alerts, inspect services, and analyze incidents.checked 11 Oct 2026
- AI features
- Its AI platform can query metrics, traces, topology, and alerts in natural language, inspect services, and analyze incidents.checked 11 Oct 2026
- AI setup
- The installation guide says to enter an API key in Model Settings to enable AI.checked 11 Oct 2026
- Alert notifications
- DataBuff can send alert events as JSON HTTP POST requests to a configured webhook URL.checked 11 Oct 2026
- APM features
- The product includes distributed tracing, service metrics, automatically generated service topology, and alerting.checked 11 Oct 2026
- Architecture
- The product overview describes a three-component architecture of ingest, storage, and platform.checked 11 Oct 2026
- Deployment
- The maker documents Docker and Kubernetes installation, with a recommended minimum of 8 CPU cores and 16 GB RAM for each installation guide.checked 11 Oct 2026
- External systems
- The maker documents connecting external MCP services such as SkyWalking, Prometheus, and Zabbix to AI experts.checked 11 Oct 2026
- Ingestion
- DataBuff Ingest accepts OTLP traces, metrics, and logs over gRPC and HTTP.checked 11 Oct 2026
- Integrations
- External MCP tools can be connected to digital experts; the guide names SkyWalking, Prometheus, and Zabbix as examples.checked 11 Oct 2026
- Intended users
- The product overview describes use cases including teams seeking quick APM deployment, conversational troubleshooting, and self-hosted AI operations capabilities.checked 11 Oct 2026
- Login security
- The open-source Web application uses a built-in seed account by default, and credentials can be overridden through environment variables.checked 11 Oct 2026
- Monitoring
- Its APM features include distributed traces, service metrics, service topology, and alerting.checked 11 Oct 2026
- Pricing information
- The opened maker pages describe DataBuff as open-source but do not state a product price or commercial plan.checked 11 Oct 2026
- Product
- DataBuff describes itself as an open-source, AI-native OpenTelemetry APM for application performance monitoring and distributed tracing.checked 11 Oct 2026
- Requirements
- The Docker installation guide recommends a host with 8 CPU cores and 16 GB RAM.checked 11 Oct 2026
- Security
- The documented MCP MVP has no dedicated API token, and the guide recommends using an intranet, VPN, or reverse proxy.checked 11 Oct 2026
- Security limitation
- The documented MCP endpoint has no dedicated API token in the described MVP, and the maker recommends restricting access with an intranet, VPN, reverse proxy, gateway, or firewall.checked 11 Oct 2026
- Support
- The maker's partner page describes delivery playbooks, pre-sales assets, co-engineering support, and partner enablement for partners.checked 11 Oct 2026
- Telemetry
- It ingests OpenTelemetry data and supports SkyWalking alongside OTLP.checked 11 Oct 2026
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