DatriseAI-first ETL

Lever to MySQL Integration

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

How Datrise loads Lever into MySQL

Datrise syncs Lever's candidates, opportunities, postings, interviews, offers, and feedback forms 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

Lever: Applicant tracking and candidate relationship management.

MySQL: Widely used OSS relational engine (InnoDB).

How Lever entities map to MySQL

Lever entityMySQL objectNotes
candidateslever_candidatesid PK · custom fields → JSON columns
opportunitieslever_opportunitiesid PK · linked to lever_candidates
postingslever_postingsid PK · linked to lever_candidates
interviewslever_interviewsid PK · linked to lever_candidates

FAQ

How does Datrise handle Lever'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 Lever 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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