Data and AI releases

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DuckDB Skills for Claude Code

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DuckDB released `duckdb-skills`, a plugin for Claude Code that allows AI tools to query local files, web URLs, and Iceberg tables directly via the DuckDB CLI.

SQLDeveloper toolsAI agents

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Also shipped Sep 16, 2026DuckDB in September 2026 →

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DuckDB Now Ships inside dbt v2

dbt v2 now ships with a native DuckDB adapter built on its Rust Fusion engine, enabling users to execute local SQL model transformations against DuckDB out of the box.

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DuckDB v1.5.6 Bugfix Release

This is a bug fix release for various issues discovered after we released v1.5.5 - Use relative includes in unity build sources for cache reuse - bump vortex - [variegata] Remove Julia client in favor of duckdb/DuckDB.jl - [variegata] Replace the C API spec and code generation - TopNWindowElimination Fixes - Fix active query race - Fix UNNEST Pushdown -...

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Announcing DuckDB 1.5.6

DuckDB version 1.5.6 is now available, featuring bug fixes, performance improvements, and security patches. The release addresses issues with Parquet handling, window functions, and integer literal processing.

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Try DuckDB v2.0-alpha

DuckDB announced a feature freeze and released preview builds for DuckDB v2.0-alpha Cyanoptera across command-line and Python clients.

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How DuckDB Runs Recursive CTEs Faster

The upcoming DuckDB v2.0 introduces physical execution changes to run recursive CTEs faster. By explicitly assigning scopes and reusing pipeline executors, the engine avoids repeatedly paying for pipeline scheduling and operator setup across iterations.

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Agent Mode in the DuckDB CLI

DuckDB introduced Agent Mode in its CLI to optimize query output for LLMs and AI agents. By removing visual borders and column padding, Agent Mode reduces token consumption by around 60% during automated queries.

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Chunked Query Results in the DuckDB Java Driver

Version 1.5.3.0 of the DuckDB Java driver introduces an alternative to the row-by-row JDBC ResultSet API, allowing applications to retrieve query results in columnar chunks. This update avoids the overhead of slicing columnar data into rows and reassembling it.

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