Development Roadmap
(Last updated: April 2026)
The DuckDB project is governed by the non-profit DuckDB Foundation. The Foundation and DuckDB Labs are not funded by external investors (e.g., venture capital). Instead, the Foundation is funded by contributions from its members, while DuckDB Labs' revenue is based on commercial support and feature prioritization services.
This list was compiled by the DuckDB maintainers and is based on the long-term strategic vision for the DuckDB project and general interactions with users in the open-source community (GitHub Issues and Discussions, social media, etc.). For details on how to request features in DuckDB, please refer to the FAQ item “I would like feature X to be implemented in DuckDB”.
Planned Features
This section lists the features that the DuckDB team plans to work on in the coming year.
- Migration and documentation to C client API and C extension API
- Rust support for extensions
- Continuous improvements to lakehouse formats: Iceberg, Delta, Lance and DuckLake
MATCH_RECOGNIZEfor pattern matching- Support for async I/O
- Parallel Python UDFs
- Using the new PEG parser by default
- C++17 support
- macOS installer
- Windows installer
Please note that there are no guarantees that a particular feature will be released within the next year. Everything on this page is subject to change without notice.
Planned Deprecations
We are gradually phasing out the lambda syntax (x -> x + 1) in favor of the Pythonic lambda x : x + 1. DuckDB v1.5 throws a warning when using the deprecated syntax and DuckDB v2.0 will throw an error (unless configured explicitly to allow the old syntax).
Future Work / Looking for Funding
There are several features and optimizations that we plan to implement at some point in the future. If you would like to expedite the development of these items, please get in touch with DuckDB Labs.
- Go support for extensions
- Time series optimizations
- Partition-aware optimizations
- Sorting-aware optimizations
- Better filter cardinality estimation using automatically maintained table samples
ALTER TABLEsupport for adding foreign keys- Improvements of query profiling (especially for concurrently running queries)
- Materialized views
- Support for PL/SQL stored procedures (see Denis Hirn's DuckPL talk)
- XML read support
- Guaranteeing FIPS-compliance for the database encryption
- Performance and out-of-core optimization on Windows