DatriseAI-first ETL

Moskit CRM MySQL

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

How Datrise loads Moskit CRM into MySQL

Datrise syncs Moskit 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

Moskit CRM: CRM widely used in Latin America for sales pipeline and customer ops.

MySQL: Widely used OSS relational engine (InnoDB).

How Moskit CRM entities map to MySQL

Moskit CRM entityMySQL objectNotes
contactsmoskit_contactsid PK · custom fields → JSON columns
accountsmoskit_accountsid PK · linked to moskit_contacts
dealsmoskit_dealsid PK · linked to moskit_contacts
activitiesmoskit_activitiesDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Moskit 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 Moskit 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.

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