Manatal → Yellowfin
AI-first ETL from Manatal into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Manatal into Yellowfin
Datrise syncs Manatal's contacts, accounts, deals, activities, and lifecycle events into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Manatal: Recruiting CRM/ATS for candidates, pipelines, and placements.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Manatal entities map to Yellowfin
| Manatal entity | Yellowfin object | Notes |
|---|---|---|
| contacts | manatal_contacts | id PK · custom fields → flattened columns |
| accounts | manatal_accounts | id PK · linked to manatal_contacts |
| deals | manatal_deals | id PK · linked to manatal_contacts |
| activities | manatal_activities | date/time dimensions events |
FAQ
How does Datrise handle Manatal's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Manatal to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
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