Google Sheets → Sisense
AI-first ETL from Google Sheets into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Sheets into Sisense
Datrise syncs Google Sheets's spreadsheet-based CRM rows, updates, and operational workflow tables into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
Google Sheets: Spreadsheet CRM workflows and lightweight pipelines.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Google Sheets entities map to Sisense
| Google Sheets entity | Sisense object | Notes |
|---|---|---|
| spreadsheet-based CRM rows | google_sheets_spreadsheet_based_crm_rows | id PK · custom fields → flattened columns for the cube |
| updates | google_sheets_updates | id PK · linked to google_sheets_spreadsheet_based_crm_rows |
| operational workflow tables | google_sheets_operational_workflow_tables | id PK · linked to google_sheets_spreadsheet_based_crm_rows |
FAQ
How does Datrise handle Google Sheets's custom fields in Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the Google Sheets to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
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Early access
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