DuckLake
Judgement: Assess
DuckDB-Labs catalog; v1.0 production-ready, ecosystem still small.
Lakehouse catalog format from DuckDB Labs that puts the catalog inside a regular SQL database — no separate REST catalog, no manifest sprawl. Designed for simplicity and zero-infrastructure analytics.
Why it counts as a standard
DuckLake's catalog schema is published as an open SQL specification — any database that speaks SQL can host a DuckLake catalog. Listed on the de-facto criterion: the schema is the standard surface, even though DuckDB Labs governs it and adoption is still early.
At a glance
- Category
- Catalog APIs
- Governance
- DuckDB Labs (vendor-driven open source)
- Status
- Emerging; v1.0 production-ready (April 2026), adoption concentrated in the DuckDB ecosystem
- First released
- 2025
Links
Related standards
Other standards in Catalog APIs.
- Iceberg Catalog — Iceberg REST Catalog
- Schema Registry — Confluent Schema Registry
- Unity Catalog
- Hive Metastore — Apache Hive Metastore
See DuckLake in context
Open the interactive Data Landscape to compare DuckLake against every other open standard, or grab the raw JSON. Spotted something wrong? Open an issue.