Excel File to DuckDB Integration
AI-first ETL from Excel File into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Excel File into DuckDB
Datrise syncs Excel File's worksheets, rows, columns, headers, cell ranges, and workbooks into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Excel File: Spreadsheet workbooks from exports and shared drives.
DuckDB: In-process analytics database for fast local OLAP.
How Excel File entities map to DuckDB
| Excel File entity | DuckDB object | Notes |
|---|---|---|
| worksheets | excel_file_worksheets | id PK · custom fields → JSON or STRUCT columns |
| rows | excel_file_rows | id PK · linked to excel_file_worksheets |
| columns | excel_file_columns | id PK · linked to excel_file_worksheets |
| headers | excel_file_headers | id PK · linked to excel_file_worksheets |
FAQ
How does Datrise handle Excel File's custom fields in DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Excel File to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for Excel File
Early access
Connect Excel File to DuckDB the easy way
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