DatriseAI-first ETL

Recruitee to MySQL Integration

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

How Datrise loads Recruitee into MySQL

Datrise syncs Recruitee's candidates, offers, jobs, interviews, pipeline stages, and evaluations 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

Recruitee: Collaborative hiring and candidate pipelines.

MySQL: Widely used OSS relational engine (InnoDB).

How Recruitee entities map to MySQL

Recruitee entityMySQL objectNotes
candidatesrecruitee_candidatesid PK · custom fields → JSON columns
offersrecruitee_offersid PK · linked to recruitee_candidates
jobsrecruitee_jobsid PK · linked to recruitee_candidates
interviewsrecruitee_interviewsid PK · linked to recruitee_candidates

FAQ

How does Datrise handle Recruitee'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 Recruitee 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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