DatriseAI-first ETL

MyCase MySQL

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

How Datrise loads MyCase into MySQL

Datrise syncs MyCase'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

MyCase: Legal practice CRM for matters, clients, and intake workflows.

MySQL: Widely used OSS relational engine (InnoDB).

How MyCase entities map to MySQL

MyCase entityMySQL objectNotes
contactsmycase_contactsid PK · custom fields → JSON columns
accountsmycase_accountsid PK · linked to mycase_contacts
dealsmycase_dealsid PK · linked to mycase_contacts
activitiesmycase_activitiesDATETIME/TIMESTAMP events

FAQ

How does Datrise handle MyCase'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 MyCase 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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