DatriseAI-first ETL

GitHub Webhook to Metabase Integration

AI-first ETL from GitHub Webhook into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads GitHub Webhook into Metabase

Datrise syncs GitHub Webhook's push events, pull requests, issues, releases, commits, and workflow runs into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

GitHub Webhook: Repository event stream delivered by webhook.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How GitHub Webhook entities map to Metabase

GitHub Webhook entityMetabase objectNotes
push eventsgithub_webhook_push_eventstemporal columns for trends events
pull requestsgithub_webhook_pull_requestsid PK · linked to github_webhook_push_events
issuesgithub_webhook_issuesid PK · linked to github_webhook_push_events
releasesgithub_webhook_releasesid PK · linked to github_webhook_push_events

FAQ

How does Datrise handle GitHub Webhook's custom fields in Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the GitHub Webhook to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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