DatriseAI-first ETL

Manatal to PostgreSQL Integration

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

How Datrise loads Manatal into PostgreSQL

Datrise syncs Manatal's candidates, jobs, applications, pipeline stages, match scores, and clients into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Manatal: AI recruitment software with candidate scoring.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Manatal entities map to PostgreSQL

Manatal entityPostgreSQL objectNotes
candidatesmanatal_candidatesid PK · custom fields → jsonb columns
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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Manatal to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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