Greenhouse to MySQL Integration

How Datrise loads Greenhouse into MySQL

Datrise syncs Greenhouse's candidates, applications, jobs, interviews, scorecards, and offers 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

Greenhouse: Applicant tracking and structured hiring.

MySQL: Widely used OSS relational engine (InnoDB).

How Greenhouse entities map to MySQL

Greenhouse entity	MySQL object	Notes
candidates	`greenhouse_candidates`	id PK · custom fields → JSON columns
applications	`greenhouse_applications`	id PK · linked to greenhouse_candidates
jobs	`greenhouse_jobs`	id PK · linked to greenhouse_candidates
interviews	`greenhouse_interviews`	id PK · linked to greenhouse_candidates

FAQ

How does Datrise handle Greenhouse'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 Greenhouse 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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