DatriseAI-first ETL

Apptivo MySQL

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

How Datrise loads Apptivo into MySQL

Datrise syncs Apptivo'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

Apptivo: CRM for SMB teams managing pipeline, contacts, and customer activity.

MySQL: Widely used OSS relational engine (InnoDB).

How Apptivo entities map to MySQL

Apptivo entityMySQL objectNotes
contactsapptivo_contactsid PK · custom fields → JSON columns
accountsapptivo_accountsid PK · linked to apptivo_contacts
dealsapptivo_dealsid PK · linked to apptivo_contacts
activitiesapptivo_activitiesDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Apptivo'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 Apptivo 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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