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Blargian merged 1 commit into from
Mar 13, 2026
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lake formats -> open table formats #5741

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2 changes: 1 addition & 1 deletion docs/use-cases/data_lake/index.md
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Expand Up @@ -28,7 +28,7 @@ See the getting started guide for [accelerating analytics with MergeTree](/use-c

### Read data directly {#read-data-directly}

ClickHouse provides [table functions](/sql-reference/table-functions) and [engines](/engines/table-engines/integrations) for reading open table formats directly on object storage. Functions such as [`iceberg()`](/sql-reference/table-functions/iceberg), [`deltaLake()`](/sql-reference/table-functions/deltalake), [`hudi()`](/sql-reference/table-functions/hudi), and [`paimon()`](/sql-reference/table-functions/paimon) allow users to query lake format tables from within a SQL statement without any prior configuration. Versions of these functions exist for most common object stores, such as S3, Azure Blob Storage, and GCS. These functions also have equivalent table engines which can be used to create tables within ClickHouse which reference underlying lake formats object storage - thus making querying more convenient.
ClickHouse provides [table functions](/sql-reference/table-functions) and [engines](/engines/table-engines/integrations) for reading open table formats directly on object storage. Functions such as [`iceberg()`](/sql-reference/table-functions/iceberg), [`deltaLake()`](/sql-reference/table-functions/deltalake), [`hudi()`](/sql-reference/table-functions/hudi), and [`paimon()`](/sql-reference/table-functions/paimon) allow users to query open table format tables from within a SQL statement without any prior configuration. Versions of these functions exist for most common object stores, such as S3, Azure Blob Storage, and GCS. These functions also have equivalent table engines which can be used to create tables within ClickHouse which reference underlying open table format object storage - thus making querying more convenient.

See our getting started guide for [querying directly](/use-cases/data-lake/getting-started/querying-directly), or by [connecting to a data catalogue](/use-cases/data-lake/getting-started/connecting-catalogs).

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