DatriseAI-first ETL

Smartsheet to Looker Integration

AI-first ETL from Smartsheet into Looker. Governed entities, incremental sync, typed landing tables.

How Datrise loads Smartsheet into Looker

Datrise syncs Smartsheet's sheets, rows, columns, cells, attachments, and comments into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

Smartsheet: Spreadsheet-style work and project management.

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How Smartsheet entities map to Looker

Smartsheet entityLooker objectNotes
sheetssmartsheets_sheetsid PK · custom fields → flattened columns (nested fields expanded for modeling)
rowssmartsheets_rowsid PK · linked to smartsheets_sheets
columnssmartsheets_columnsid PK · linked to smartsheets_sheets
cellssmartsheets_cellsid PK · linked to smartsheets_sheets

FAQ

How does Datrise handle Smartsheet's custom fields in Looker?

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

How does the Smartsheet to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

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