DatriseAI-first ETL

Zenloop to MySQL Integration

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

How Datrise loads Zenloop into MySQL

Datrise syncs Zenloop's surveys, answers, NPS scores, respondents, sentiment labels, and feedback topics 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

Zenloop: NPS surveys and customer feedback analysis.

MySQL: Widely used OSS relational engine (InnoDB).

How Zenloop entities map to MySQL

Zenloop entityMySQL objectNotes
surveyszenloop_surveysid PK · custom fields → JSON columns
answerszenloop_answersid PK · linked to zenloop_surveys
NPS scoreszenloop_nps_scoresid PK · linked to zenloop_surveys
respondentszenloop_respondentsid PK · linked to zenloop_surveys

FAQ

How does Datrise handle Zenloop'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 Zenloop 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

Connect Zenloop to MySQL the easy way

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