DatriseAI-first ETL

EspoCRM MySQL

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

How Datrise loads EspoCRM into MySQL

Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation events into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How EspoCRM entities map to MySQL

EspoCRM entityMySQL objectNotes
pipeline entitiesespocrm_pipeline_entitiesid PK · custom fields → JSON columns
custom objectsespocrm_custom_objectsid PK · linked to espocrm_pipeline_entities
process automation eventsespocrm_process_automation_eventsDATETIME/TIMESTAMP events

FAQ

How does Datrise handle EspoCRM's custom fields in MySQL?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.

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

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

Related pipelines

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