DatriseAI-first ETL

Microsoft SQL Server to Spreadsheets Integration

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

How Datrise loads Microsoft SQL Server into Spreadsheets

Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Microsoft SQL Server: Microsoft SQL Server transactional databases.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Microsoft SQL Server entities map to Spreadsheets

Microsoft SQL Server entitySpreadsheets objectNotes
tablesmssql_sql_server_tablesid PK · custom fields → JSON-stringified cells for nested fields
rowsmssql_sql_server_rowsid PK · linked to mssql_sql_server_tables
schemasmssql_sql_server_schemasid PK · linked to mssql_sql_server_tables
indexesmssql_sql_server_indexesid PK · linked to mssql_sql_server_tables

FAQ

How does Datrise handle Microsoft SQL Server's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

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

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

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