BoomTown to MySQL Integration

How Datrise loads BoomTown into MySQL

Datrise syncs BoomTown's leads, contacts, listings, opportunities, property alerts, and agent interactions 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 lead generation with predictive agent alerts.

MySQL: Widely used OSS relational engine (InnoDB).

How BoomTown entities map to MySQL

BoomTown entity	MySQL object	Notes
leads	`boomtown_leads`	id PK · custom fields → JSON columns
contacts	`boomtown_contacts`	id PK · linked to boomtown_leads
listings	`boomtown_listings`	id PK · linked to boomtown_leads
opportunities	`boomtown_opportunities`	id PK · linked to boomtown_leads

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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