DatriseAI-first ETL

ServiceTitan to MySQL Integration

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

How Datrise loads ServiceTitan into MySQL

Datrise syncs ServiceTitan's jobs, customers, estimates, invoices, technicians, and service agreements 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

ServiceTitan: Trades platform for dispatch, jobs, and revenue reporting.

MySQL: Widely used OSS relational engine (InnoDB).

How ServiceTitan entities map to MySQL

ServiceTitan entityMySQL objectNotes
jobsservicetitan_jobsid PK · custom fields → JSON columns
customersservicetitan_customersid PK · linked to servicetitan_jobs
estimatesservicetitan_estimatesid PK · linked to servicetitan_jobs
invoicesservicetitan_invoicesid PK · linked to servicetitan_jobs

FAQ

How does Datrise handle ServiceTitan'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 ServiceTitan 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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