DatriseAI-first ETL

Smartsheets Birst

AI-first ETL from Smartsheets into Birst. Governed entities, incremental sync, typed landing tables.

How Datrise loads Smartsheets into Birst

Datrise syncs Smartsheets's records, events, and configuration objects into Birst as warehouse tables for Birst's automated star schema. 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 source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

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

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Smartsheets entities map to Birst

Smartsheets entityBirst objectNotes
recordssmartsheets_recordsid PK · custom fields → flattened columns
eventssmartsheets_eventsdate/time dimensions events
configuration objectssmartsheets_configuration_objectsid PK · linked to smartsheets_records

FAQ

How does Datrise handle Smartsheets's custom fields in Birst?

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 Birst types.

How does the Smartsheets to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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