DatriseAI-first ETL

SurveyMonkey MicroStrategy

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

How Datrise loads SurveyMonkey into MicroStrategy

Datrise syncs SurveyMonkey's surveys, questions, responses, collectors, and quotas into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

SurveyMonkey: Survey creation and response analytics.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How SurveyMonkey entities map to MicroStrategy

SurveyMonkey entityMicroStrategy objectNotes
surveyssurveymonkey_surveysid PK · custom fields → flattened 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 MicroStrategy?

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

How does the SurveyMonkey to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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