# File Formats


> Load data into MotherDuck using various file formats

Load data into MotherDuck using various file formats.

## Included pages

- [Apache Iceberg](https://motherduck.com/docs/integrations/file-formats/apache-iceberg): Attach an Iceberg REST catalog as a MotherDuck database to read and write Iceberg tables, or scan individual tables by path.
- [Delta Lake](https://motherduck.com/docs/integrations/file-formats/delta-lake): MotherDuck supports querying data in the Delta Lake format. The Delta DuckDB extension is loaded automatically when any of the supported Delta Lake functions are called.
- [DuckLake](https://motherduck.com/docs/integrations/file-formats/ducklake): DuckLake is an integrated data lake and catalog format for large scale data analytics.
- [Google Sheets](https://motherduck.com/docs/integrations/file-formats/google-sheets): Query Google Sheets from MotherDuck with CSV export URLs or the DuckDB Google Sheets community extension.
- [CSV](https://motherduck.com/docs/integrations/file-formats/csv): CSV is a simple text format for tabular data. DuckDB can read CSV files from local paths, HTTPS URLs, and supported cloud storage locations, then load the results into MotherDuck tables.
- [Excel](https://motherduck.com/docs/integrations/file-formats/excel): Excel workbooks can be loaded through DuckDB's Excel extension and stored in MotherDuck for repeatable SQL analysis.
- [JSON](https://motherduck.com/docs/integrations/file-formats/json): JSON is a common format for semi-structured data. DuckDB can read JSON files and load the results into MotherDuck for SQL analytics.
- [Parquet](https://motherduck.com/docs/integrations/file-formats/parquet): Parquet is a columnar file format designed for analytics. DuckDB can query Parquet files directly and persist the result as a MotherDuck table.


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