DatriseAI-first ETL

MyCase to MySQL Integration

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

How Datrise loads MyCase into MySQL

Datrise syncs MyCase's cases, clients, leads, time entries, invoices, and documents 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: Case management and client intake for law firms.

MySQL: Widely used OSS relational engine (InnoDB).

How MyCase entities map to MySQL

MyCase entityMySQL objectNotes
casesmycase_casesid PK · custom fields → JSON columns
clientsmycase_clientsid PK · linked to mycase_cases
leadsmycase_leadsid PK · linked to mycase_cases
time entriesmycase_time_entriesid PK · linked to mycase_cases

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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