Manatal to Holistics Integration
AI-first ETL from Manatal into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Manatal into Holistics
Datrise syncs Manatal's candidates, jobs, applications, pipeline stages, match scores, and clients into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Manatal: AI recruitment software with candidate scoring.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Manatal entities map to Holistics
| Manatal entity | Holistics object | Notes |
|---|---|---|
| candidates | manatal_candidates | id PK · custom fields → flattened columns for the modeling layer |
| jobs | manatal_jobs | id PK · linked to manatal_candidates |
| applications | manatal_applications | id PK · linked to manatal_candidates |
| pipeline stages | manatal_pipeline_stages | id PK · linked to manatal_candidates |
FAQ
How does Datrise handle Manatal's custom fields in Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Manatal to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
More destinations for Manatal
More sources for Holistics
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