DatriseAI-first ETL

Manatal to Klipfolio Integration

AI-first ETL from Manatal into Klipfolio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Manatal into Klipfolio

Datrise syncs Manatal's candidates, jobs, applications, pipeline stages, match scores, and clients 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

Manatal: AI recruitment software with candidate scoring.

Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.

How Manatal entities map to Klipfolio

Manatal entityKlipfolio objectNotes
candidatesmanatal_candidatesid PK · custom fields → flattened columns for Klips
jobsmanatal_jobsid PK · linked to manatal_candidates
applicationsmanatal_applicationsid PK · linked to manatal_candidates
pipeline stagesmanatal_pipeline_stagesid PK · linked to manatal_candidates

FAQ

How does Datrise handle Manatal'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 Manatal to Klipfolio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or data feeds.

Related pipelines

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