DatriseAI-first ETL

GitHub Apache Superset

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

How Datrise loads GitHub into Apache Superset

Datrise syncs GitHub's repositories, issues, pull requests, commits, and workflow runs into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

GitHub: Developer platform for repos, issues, and delivery workflows.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How GitHub entities map to Apache Superset

GitHub entityApache Superset objectNotes
repositoriesgithub_repositoriesid PK · custom fields → flattened columns for the explore UI
issuesgithub_issuesid PK · linked to github_repositories
pull requestsgithub_pull_requestsid PK · linked to github_repositories
commitsgithub_commitsid PK · linked to github_repositories

FAQ

How does Datrise handle GitHub's custom fields in Apache Superset?

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

How does the GitHub to Apache Superset sync stay up to date?

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

Related pipelines

Early access

Connect GitHub to Apache Superset the easy way

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