Database to Excel
A free online tool that converts database schemas and data into Excel-ready spreadsheets, simplifying data export and analysis for analysts, developers, and data engineers.

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About This Tool
This tool enables database-to-Excel export by applying a user-defined mapping from source tables to Excel sheets. It supports common relational databases and select NoSQL views that expose a queryable schema, making it suitable for BI analysts, data engineers, and DB admins who need to share data with stakeholders or prepare migrations.
Conceptually, it reads metadata and data from the source, applies field mappings, casts types, and writes sheets with headers reflecting target column names. It preserves nulls unless defaults are specified and can filter or transform rows as configured. The output is an .xlsx workbook with one sheet per mapped table, ready for analysis in Excel or downstream tooling.
Unique value includes schema-level mapping, incremental export options, and optional data masking for sensitive fields, along with automatic handling of date/time formats and numeric types. Typical use cases include BI reporting, data migrations, ad-hoc analysis for product teams, and archival tasks.
Core features comprise input mapping, type casting, multi-sheet export, batch processing for large data, and an export summary with counts, ensuring repeatable results across runs.
How to Use
1. Provide inputs: specify source_type, connection_string, and a mapping configuration.
2. Define mappings: assign each source table to an Excel sheet and configure target column names.
3. Run conversion: execute the export to generate an Excel workbook.
4. Retrieve output: download via created_file_url and verify row and column counts.
5. Optional: adjust advanced options like batch size, masking, and formatting.

FAQs/Additional Resources
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What sources are supported?
How is performance with large datasets?
Can I export multiple tables and customize sheet names?
Is the exported file secure and portable?
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