GitHub Webhook to Domo Integration
AI-first ETL from GitHub Webhook into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads GitHub Webhook into Domo
Datrise syncs GitHub Webhook's push events, pull requests, issues, releases, commits, and workflow runs into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
GitHub Webhook: Repository event stream delivered by webhook.
Domo: Cloud BI platform combining data integration and executive dashboards.
How GitHub Webhook entities map to Domo
| GitHub Webhook entity | Domo object | Notes |
|---|---|---|
| push events | github_webhook_push_events | date/time columns events |
| pull requests | github_webhook_pull_requests | id PK · linked to github_webhook_push_events |
| issues | github_webhook_issues | id PK · linked to github_webhook_push_events |
| releases | github_webhook_releases | id PK · linked to github_webhook_push_events |
FAQ
How does Datrise handle GitHub Webhook's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the GitHub Webhook to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
More destinations for GitHub Webhook
Early access
Connect GitHub Webhook to Domo the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.