DatriseAI-first ETL

Google Sheets Azure Synapse

AI-first ETL from Google Sheets into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Sheets into Azure Synapse

Datrise syncs Google Sheets's spreadsheet-based CRM rows, updates, and operational workflow tables into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Google Sheets: Spreadsheet CRM workflows and lightweight pipelines.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Google Sheets entities map to Azure Synapse

Google Sheets entityAzure Synapse objectNotes
spreadsheet-based CRM rowsgoogle_sheets_spreadsheet_based_crm_rowsid PK · custom fields → NVARCHAR(MAX) JSON columns
updatesgoogle_sheets_updatesid PK · linked to google_sheets_spreadsheet_based_crm_rows
operational workflow tablesgoogle_sheets_operational_workflow_tablesid PK · linked to google_sheets_spreadsheet_based_crm_rows

FAQ

How does Datrise handle Google Sheets's custom fields in Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Google Sheets to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

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