DatriseAI-first ETL

Capsule CRM PostgreSQL

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

How Datrise loads Capsule CRM into PostgreSQL

Datrise syncs Capsule CRM's contacts, opportunities, tracks, and lightweight sales process data 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

Capsule CRM: SMB CRM for contacts, opportunities, and lightweight workflows.

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

How Capsule CRM entities map to PostgreSQL

Capsule CRM entityPostgreSQL objectNotes
contactscapsule_crm_contactsid PK · custom fields → jsonb columns
opportunitiescapsule_crm_opportunitiesid PK · linked to capsule_crm_contacts
trackscapsule_crm_tracksid PK · linked to capsule_crm_contacts
lightweight sales process datacapsule_crm_lightweight_sales_process_dataid PK · linked to capsule_crm_contacts

FAQ

How does Datrise handle Capsule CRM'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 Capsule CRM 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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