DatriseAI-first ETL

Workable to MySQL Integration

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

How Datrise loads Workable into MySQL

Datrise syncs Workable's candidates, jobs, applications, interviews, offers, and pipeline stages 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

Workable: Recruiting pipeline and candidate evaluation.

MySQL: Widely used OSS relational engine (InnoDB).

How Workable entities map to MySQL

Workable entityMySQL objectNotes
candidatesworkable_candidatesid PK · custom fields → JSON columns
jobsworkable_jobsid PK · linked to workable_candidates
applicationsworkable_applicationsid PK · linked to workable_candidates
interviewsworkable_interviewsid PK · linked to workable_candidates

FAQ

How does Datrise handle Workable'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 Workable 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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