DatriseAI-first ETL

Close PostgreSQL

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

How Datrise loads Close into PostgreSQL

Datrise syncs Close's leads, opportunities, calls, SMS events, and sequence performance 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

Close: Inside-sales CRM with calling and sequences.

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

How Close entities map to PostgreSQL

Close entityPostgreSQL objectNotes
leadsclose_leadsid PK · custom fields → jsonb columns
opportunitiesclose_opportunitiesid PK · linked to close_leads
callsclose_callsid PK · linked to close_leads
SMS eventsclose_sms_eventstimestamptz events

FAQ

How does Datrise handle Close'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 Close 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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