DatriseAI-first ETL

Agendor to PostgreSQL Integration

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

How Datrise loads Agendor into PostgreSQL

Datrise syncs Agendor's organizations, people, deals, funnel stages, activities, and proposals 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

Agendor: Brazilian sales CRM for pipeline and account follow-up.

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

How Agendor entities map to PostgreSQL

Agendor entityPostgreSQL objectNotes
organizationsagendor_organizationsid PK · custom fields → jsonb columns
peopleagendor_peopleid PK · linked to agendor_organizations
dealsagendor_dealsid PK · linked to agendor_organizations
funnel stagesagendor_funnel_stagesid PK · linked to agendor_organizations

FAQ

How does Datrise handle Agendor'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 Agendor 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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