DatriseAI-first ETL

Efficy CRM MySQL

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

How Datrise loads Efficy CRM into MySQL

Datrise syncs Efficy CRM's contacts, accounts, deals, activities, and lifecycle 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

Efficy CRM: European CRM for SMB and mid-market sales teams.

MySQL: Widely used OSS relational engine (InnoDB).

How Efficy CRM entities map to MySQL

Efficy CRM entityMySQL objectNotes
contactsefficy_contactsid PK · custom fields → JSON columns
accountsefficy_accountsid PK · linked to efficy_contacts
dealsefficy_dealsid PK · linked to efficy_contacts
activitiesefficy_activitiesDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Efficy CRM'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 Efficy CRM 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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