Crelate → Klipfolio
AI-first ETL from Crelate into Klipfolio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Crelate into Klipfolio
Datrise syncs Crelate's contacts, accounts, deals, activities, and lifecycle events 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
Crelate: Recruiting CRM/ATS for candidates, pipelines, and placements.
Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.
How Crelate entities map to Klipfolio
| Crelate entity | Klipfolio object | Notes |
|---|---|---|
| contacts | crelate_contacts | id PK · custom fields → flattened columns for Klips |
| accounts | crelate_accounts | id PK · linked to crelate_contacts |
| deals | crelate_deals | id PK · linked to crelate_contacts |
| activities | crelate_activities | date/time columns events |
FAQ
How does Datrise handle Crelate'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 Crelate 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 Crelate
More sources for Klipfolio
Early access
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