Documentation

WebRTC Quality Analytics

A Databricks App that turns raw WebRTC statistics into call-quality insight — E-model MOS scores, per-second timelines, fleet breakdowns, and AI root-cause diagnosis — running 100% inside your own Databricks workspace. Zero external egress.

InstallMap two resources, run the DDL, grant access — about ten minutes end to end. Capture a dumpExport call statistics from chrome://webrtc-internals and upload them. ScreensOverview, Sessions, Breakdown, Compare, Call timeline, and AI diagnosis. Data modelThe Delta tables, the QoE scoring model, and how to build on them.

Requirements

Unity Catalog enabled in your workspace
A serverless SQL warehouse
Databricks Apps enabled
Optional, for AI diagnosis: a pay-per-token Foundation Model API endpoint

How it keeps your data yours

Storage is your Unity Catalog, compute is your SQL warehouse, and the AI diagnosis runs on your workspace's Model Serving endpoints. The app declares no external domains, makes no outbound calls, and collects no telemetry. TURN credentials are redacted and SDP bodies dropped at parse time.

Support

Questions, early access, or a demo with your own dumps: info@flying-village.com