DatriseAI-first ETL

EspoCRM PostgreSQL

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

How Datrise loads EspoCRM into PostgreSQL

Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation events 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

EspoCRM: Open-source CRM for pipeline management and custom entity modeling.

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

How EspoCRM entities map to PostgreSQL

EspoCRM entityPostgreSQL objectNotes
pipeline entitiesespocrm_pipeline_entitiesid PK · custom fields → jsonb columns
custom objectsespocrm_custom_objectsid PK · linked to espocrm_pipeline_entities
process automation eventsespocrm_process_automation_eventstimestamptz events

FAQ

How does Datrise handle EspoCRM'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 EspoCRM 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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