DatriseAI-first ETL

Merge to PostgreSQL Integration

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

How Datrise loads Merge into PostgreSQL

Datrise syncs Merge's linked accounts, employees, candidates, contacts, invoices, and sync statuses 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

Merge: Unified API across HR, CRM, and accounting tools.

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

How Merge entities map to PostgreSQL

Merge entityPostgreSQL objectNotes
linked accountsmerge_linked_accountsid PK · custom fields → jsonb columns
employeesmerge_employeesid PK · linked to merge_linked_accounts
candidatesmerge_candidatesid PK · linked to merge_linked_accounts
contactsmerge_contactsid PK · linked to merge_linked_accounts

FAQ

How does Datrise handle Merge'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 Merge 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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