DuckLake
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DuckLake delivers advanced data lake features without traditional lakehouse complexity by using Parquet files and your SQL database. It's an open, standalone format from the DuckDB team.
Cost / License
- Free
- Open Source
Platforms
- Self-Hosted
Features
No features, maybe you want to suggest one?
Tags
- data-lakehouse
- parquet
- SQL
- datalake
DuckLake information
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Post comment/reviewWhat is DuckLake?
DuckLake delivers advanced data lake features without traditional lakehouse complexity by using Parquet files and your SQL database. It's an open, standalone format from the
DuckDB team.
DuckLake uses a database system to manage your metadata for the catalog. All you need to run your own data warehouse is a database system and storage for Parquet files.
Key features:
- Data lake operations: DuckLake supports snapshots, time travel queries, schema evolution and partitioning.
- Lightweight snapshots: You can have as many snapshots as you want without frequent compacting steps!
- ACID transactions: DuckLake allows concurrent access with ACID transactional guarantees over multi-table operations.
- Performance-oriented: DuckLake uses statistics for filter pushdown, enabling fast queries even on large datasets.

