DatriseAI-first ETL

Qualaroo to MySQL Integration

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

How Datrise loads Qualaroo into MySQL

Datrise syncs Qualaroo's surveys, responses, questions, respondents, nudges, and sentiment scores 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

Qualaroo: On-site surveys and user sentiment capture.

MySQL: Widely used OSS relational engine (InnoDB).

How Qualaroo entities map to MySQL

Qualaroo entityMySQL objectNotes
surveysqualaroo_surveysid PK · custom fields → JSON columns
responsesqualaroo_responsesid PK · linked to qualaroo_surveys
questionsqualaroo_questionsid PK · linked to qualaroo_surveys
respondentsqualaroo_respondentsid PK · linked to qualaroo_surveys

FAQ

How does Datrise handle Qualaroo'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 Qualaroo 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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