DatriseAI-first ETL

Orbit to Apache Superset Integration

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

How Datrise loads Orbit into Apache Superset

Datrise syncs Orbit's members, activities, organizations, love scores, tags, and activity types 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

Orbit: Community member activity and engagement scoring.

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

How Orbit entities map to Apache Superset

Orbit entityApache Superset objectNotes
membersorbit_membersid PK · custom fields → flattened columns for the explore UI
activitiesorbit_activitiestemporal columns for time-series charts events
organizationsorbit_organizationsid PK · linked to orbit_members
love scoresorbit_love_scoresid PK · linked to orbit_members

FAQ

How does Datrise handle Orbit'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 Orbit to Apache Superset sync stay up to date?

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

Related pipelines

Early access

Connect Orbit to Apache Superset the easy way

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