GitHub → Chartio
AI-first ETL from GitHub into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads GitHub into Chartio
Datrise syncs GitHub's repositories, issues, pull requests, commits, and workflow runs into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
GitHub: Developer platform for repos, issues, and delivery workflows.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How GitHub entities map to Chartio
| GitHub entity | Chartio object | Notes |
|---|---|---|
| repositories | github_repositories | id PK · custom fields → flattened columns for visual SQL |
| issues | github_issues | id PK · linked to github_repositories |
| pull requests | github_pull_requests | id PK · linked to github_repositories |
| commits | github_commits | id PK · linked to github_repositories |
FAQ
How does Datrise handle GitHub's custom fields in Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the GitHub to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for GitHub
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