DatriseAI-first ETL

Typeform PostgreSQL

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

How Datrise loads Typeform into PostgreSQL

Datrise syncs Typeform's forms, responses, questions, workspaces, and completion metrics into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Typeform: Conversational forms and response analytics.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Typeform entities map to PostgreSQL

Typeform entityPostgreSQL objectNotes
formstypeform_formsid PK · custom fields → jsonb 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Typeform to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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