DatriseAI-first ETL

EspoCRM Neon

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

How Datrise loads EspoCRM into Neon

Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation events into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

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

Neon: Serverless Postgres destination with branching and autoscaling.

How EspoCRM entities map to Neon

EspoCRM entityNeon 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 Neon?

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 Neon types.

How does the EspoCRM to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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