DatriseAI-first ETL

SurveyMonkey Apache Superset

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

How Datrise loads SurveyMonkey into Apache Superset

Datrise syncs SurveyMonkey's surveys, questions, responses, collectors, and quotas into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

SurveyMonkey: Survey creation and response analytics.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How SurveyMonkey entities map to Apache Superset

SurveyMonkey entityApache Superset objectNotes
surveyssurveymonkey_surveysid PK · custom fields → flattened columns for the explore UI
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 Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the SurveyMonkey to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect SurveyMonkey to Apache Superset the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.