Library
A Plea for Lean Software
A Short Summary of the Last Decades of Data Management
Adaptive Factorization Using Linear-Chained Hash Tables
ALP: Adaptive Lossless Floating-Point Compression
Amazon S3 Tables Architecture, Use Cases, and Best Practices
Analytics for Not-so-Big Data with DuckDB
Anarchy in the Database: A Survey and Evaluation of Database Management System Extensibility
Anarchy in the Database: A Survey and Evaluation of Database Management System Extensibility
Announcing DuckDB Support for Delta Lake and the Unity Catalog Extension
AnyBlox: A Framework for Self-Decoding Datasets
Automating Database-Native Function Code Synthesis with LLMs
Beyond Database Optimization with AI
Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB
BIRNE: Mixed-paradigm Workload Execution in SQL Engines
Building a Postgres Data Warehouse Using DuckDB
Building Tetris in a SQL Query!
Changing Data with Confidence
Changing Large Tables
Cloudspecs: Cloud Hardware Evolution Through the Looking Glass
Converging Database Architectures DuckDB in PostgreSQL
CUBIT: Concurrent Updatable Bitmap Indexing
Data Chunk Compaction in Vectorized Execution
Data Management for Data Science Towards Embedded Analytics
DataFusion + DuckLake
Dear User-Defined Functions, Inlining isn't working out so great for us. Let's try batching to make our relationship work. Sincerely, SQL
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics
Deep Dive into DuckDB
Democratize MATCH_RECOGNIZE!
Design and Implementation of DuckDB Internals
Don't Hold My Data Hostage – A Case for Client Protocol Redesign
DuckCon #7 – State of the Duck
DuckDB – An Embeddable Analytical Database
DuckDB and the Future of Databases
DuckDB Deep Dive, the Challenges of Lakehouses, and More
DuckDB Embedded Database System (CMU Advanced Database Systems)
DuckDB Extensions: The Past, the Present, and the Future
DuckDB flips lakehouse model with bring-your-own compute and metadata RDBMS
DuckDB in 100 Seconds
DuckDB in Action
DuckDB in Research S01E01: Till Döhmen
DuckDB in Research S01E02: Daniël ten Wolde
DuckDB in Research S01E03: David Justen
DuckDB in Research S01E04: Arjen P. de Vries
DuckDB in Research S01E05: Haralampos Gavriilidis
DuckDB in Research S02E01: Torsten Grust
DuckDB in Research S02E02: Abigale Kim
DuckDB in Research S02E03: Mihail Stoian
DuckDB in Research S02E04: Paul Groß
DuckDB in the Cloud: A Simple, Powerful SQL Engine for Your Lakehouse
DuckDB in the Wild
DuckDB Internals
DuckDB keynote segment (Data + AI Summit)
DuckDB Meets Data Lakes
DuckDB on xNVMe
DuckDB promises greater stability with 1.0 release
DuckDB Quack: Client/Server Protocol over HTTP for Multi-User Analytics
DuckDB Spatial: Supercharged Geospatial SQL
DuckDB Stats
DuckDB Testing – Present and Future
DuckDB uses RDBMS to attack classic ‘small changes’ problem in lakehouses
DuckDB Walks to the Beat of Its Own Analytics Drum
DuckDB with Hannes Mühleisen
DuckDB with Hannes Mühleisen
DuckDB Won by Refusing to Scale Out
DuckDB-Wasm: Fast Analytical Processing for the Web
DuckDB, Apache Arrow, & the Future of Data Engineering with Rusty Conover
DuckDB: An Embeddable Analytical Database
DuckDB: Big Data Unplugged
DuckDB: Bringing Analytical SQL Directly to Your Python Shell
DuckDB: Crunching Data Anywhere from Laptops to Servers
DuckDB: Harnessing In-Process Analytics for Data Science and Beyond
DuckDB: Not Quack Science
DuckDB: The Power of a Data Warehouse in Your Python Process
DuckDB: The Tiny but Powerful Analytics Database
DuckDB: Up and Running
DuckDB's Creator Tells LDS Why SQL Won
DuckLake – The SQL-Powered Lakehouse Format for the Rest of Us
Systems Distributed 2025