DatriseAI-first ETL

BoomTown MySQL

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

How Datrise loads BoomTown into MySQL

Datrise syncs BoomTown'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

BoomTown: Real estate CRM for leads, listings, and agent follow-up.

MySQL: Widely used OSS relational engine (InnoDB).

How BoomTown entities map to MySQL

BoomTown entityMySQL objectNotes
contactsboomtown_contactsid PK · custom fields → JSON columns
accountsboomtown_accountsid PK · linked to boomtown_contacts
dealsboomtown_dealsid PK · linked to boomtown_contacts
activitiesboomtown_activitiesDATETIME/TIMESTAMP events

FAQ

How does Datrise handle BoomTown'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 BoomTown 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

Early access

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