DatriseAI-first ETL

SurveyMonkey PostgreSQL

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

How Datrise loads SurveyMonkey into PostgreSQL

Datrise syncs SurveyMonkey's surveys, questions, responses, collectors, and quotas 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

SurveyMonkey: Survey creation and response analytics.

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

How SurveyMonkey entities map to PostgreSQL

SurveyMonkey entityPostgreSQL objectNotes
surveyssurveymonkey_surveysid PK · custom fields → jsonb columns
questionssurveymonkey_questionsid PK · linked to surveymonkey_surveys
responsessurveymonkey_responsesid PK · linked to surveymonkey_surveys
collectorssurveymonkey_collectorsid PK · linked to surveymonkey_surveys

FAQ

How does Datrise handle SurveyMonkey'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 SurveyMonkey 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

Early access

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