DatriseAI-first ETL

Smartsheet to Microsoft SQL Server Integration

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

How Datrise loads Smartsheet into Microsoft SQL Server

Datrise syncs Smartsheet's sheets, rows, columns, cells, attachments, and comments into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Smartsheet: Spreadsheet-style work and project management.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Smartsheet entities map to Microsoft SQL Server

Smartsheet entityMicrosoft SQL Server objectNotes
sheetssmartsheets_sheetsid PK · custom fields → NVARCHAR(MAX) JSON columns
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 Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the Smartsheet to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

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