Manatal to Mode Integration
AI-first ETL from Manatal into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Manatal into Mode
Datrise syncs Manatal's candidates, jobs, applications, pipeline stages, match scores, and clients into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Manatal: AI recruitment software with candidate scoring.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Manatal entities map to Mode
| Manatal entity | Mode object | Notes |
|---|---|---|
| candidates | manatal_candidates | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Manatal to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Manatal
Early access
Connect Manatal to Mode the easy way
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