DatriseAI-first ETL

Megaplan MySQL

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

How Datrise loads Megaplan into MySQL

Datrise syncs Megaplan'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

Megaplan: CRM with strong adoption in CIS markets for sales and operations.

MySQL: Widely used OSS relational engine (InnoDB).

How Megaplan entities map to MySQL

Megaplan entityMySQL objectNotes
contactsmegaplan_contactsid PK · custom fields → JSON columns
accountsmegaplan_accountsid PK · linked to megaplan_contacts
dealsmegaplan_dealsid PK · linked to megaplan_contacts
activitiesmegaplan_activitiesDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Megaplan'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 Megaplan 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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