Orbit to Klipfolio Integration
AI-first ETL from Orbit into Klipfolio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Orbit into Klipfolio
Datrise syncs Orbit's members, activities, organizations, love scores, tags, and activity types into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.
Ideal for real-time KPI dashboards and wallboards.
Endpoints
Orbit: Community member activity and engagement scoring.
Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.
How Orbit entities map to Klipfolio
| Orbit entity | Klipfolio object | Notes |
|---|---|---|
| members | orbit_members | id PK · custom fields → flattened columns for Klips |
| activities | orbit_activities | date/time columns events |
| organizations | orbit_organizations | id PK · linked to orbit_members |
| love scores | orbit_love_scores | id PK · linked to orbit_members |
FAQ
How does Datrise handle Orbit's custom fields in Klipfolio?
Flexible values are stored as flattened columns for Klips, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Klipfolio types.
How does the Orbit to Klipfolio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or data feeds.
Related pipelines
More destinations for Orbit
Early access
Connect Orbit to Klipfolio the easy way
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