Discover DuckLake: A Simpler, Faster Table Format
The Essential Guide to DuckLake
Tired of the complexity in Iceberg or Delta Lake?
DuckLake is a new open table format that simplifies lakehouse architecture by using a SQL database as the metadata catalog: no more thousands of tiny files or heavyweight catalog services.
If you're evaluating open table formats, comparing Iceberg vs Delta Lake vs DuckLake, or simply looking for a better way to manage data on object storage, this guide is for you.
🦆 Why DuckLake?
- SQL-powered metadata - stored in Postgres, MySQL, SQLite, or DuckDB
- ACID-compliant - supports multi-table transactions and time travel
- No vendor lock-in - open format, built to work with any engine
- 10–100x faster metadata operations than file-based catalogs
- Simple to set up - create a DuckLake from scratch in 1 minute or less
📖 Inside the Guide
In this technical deep dive, you’ll learn:
- How DuckLake works (architecture, catalog, compute engines)
- How it compares to Apache Iceberg and Databricks Delta Lake
- When to use DuckLake and considerations for migrating
👀 Get the Guide
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