DatriseAI-first ETL

Retently to MySQL Integration

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

How Datrise loads Retently into MySQL

Datrise syncs Retently's surveys, responses, customers, NPS scores, campaigns, and feedback comments 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

Retently: NPS and customer satisfaction survey tracking.

MySQL: Widely used OSS relational engine (InnoDB).

How Retently entities map to MySQL

Retently entityMySQL objectNotes
surveysretently_surveysid PK · custom fields → JSON columns
responsesretently_responsesid PK · linked to retently_surveys
customersretently_customersid PK · linked to retently_surveys
NPS scoresretently_nps_scoresid PK · linked to retently_surveys

FAQ

How does Datrise handle Retently'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 Retently 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 Retently to MySQL the easy way

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