DatriseAI-first ETL

Surveysparrow Holistics

AI-first ETL from Surveysparrow into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Surveysparrow into Holistics

Datrise syncs Surveysparrow's records, events, and configuration objects into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Surveysparrow: SaaS or API data source for analytics and warehouse sync.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Surveysparrow entities map to Holistics

Surveysparrow entityHolistics objectNotes
recordssurveysparrow_recordsid PK · custom fields → flattened columns for the modeling layer
eventssurveysparrow_eventsdate/time dimensions events
configuration objectssurveysparrow_configuration_objectsid PK · linked to surveysparrow_records

FAQ

How does Datrise handle Surveysparrow's custom fields in Holistics?

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

How does the Surveysparrow to Holistics sync stay up to date?

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

Related pipelines

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