DatriseAI-first ETL

Typeform MySQL

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

How Datrise loads Typeform into MySQL

Datrise syncs Typeform's forms, responses, questions, workspaces, and completion metrics 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

Typeform: Conversational forms and response analytics.

MySQL: Widely used OSS relational engine (InnoDB).

How Typeform entities map to MySQL

Typeform entityMySQL objectNotes
formstypeform_formsid PK · custom fields → JSON columns
responsestypeform_responsesid PK · linked to typeform_forms
questionstypeform_questionsid PK · linked to typeform_forms
workspacestypeform_workspacesid PK · linked to typeform_forms

FAQ

How does Datrise handle Typeform'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 Typeform 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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