
DuckDB
@duckdb
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DuckDB is an analytical in-process SQL database management system. "DuckDB" and the DuckDB logo are registered trademarks of the DuckDB Foundation.
Amsterdam, The Netherlands
Joined May 2019
We are co-hosting the DuckDB Amsterdam Meetup next week with @Adyen, featuring talks by @rolandbouman, @TaniaBogatsch and @qxip: https://t.co/rHu2quTGdw The event is already at capacity but consider joining the wait list because there are always last-minute RSVP cancellations.
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In the recent npm supply chain attack, DuckDB's Node.js and Wasm packages were compromised with malware. We have investigated the issue, deprecated the affected packages and released new versions. Thankfully, according to npm, nobody has downloaded the affected versions. We have
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Big Data on the Move: Can a Framework Laptop 13 ultrabook run terabyte-sized workloads with DuckDB? @szarnyasg ran the experiments and shared his finding in our latest blog post: https://t.co/nOIauKmqKO
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We just launched the “DuckDB in Science” site, a curated collection of papers, lectures, and podcasts about DuckDB in research: https://t.co/aMUtRsIVhA 📩 If you are an author of a paper using DuckDB, please submit your work following the guidelines at the bottom of the page.
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🕐 🤔 Timestamps and time zones can be confusing! 😵 💡 To help you make sense of time zones in SQL, Richard Wesley wrote a short guide that covers some typical pitfalls:
duckdb.org
Timestamp with Time Zone Promotion Casts Working with time zones in SQL can be quite confusing at times. For example, when filtering to a date range, one might try the following query: SET timezone =...
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🔗 See more details at https://t.co/SHUdq2tSUf 🎟️ To attend, please RSVP at
meetup.com
We are excited to announce the DuckDB London meetup, which will take place during the week of the prestigious VLDB 2025 conference. This meetup will specifically focus on D
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🗺️ Junchang Wang will talk about implementing bitmap indexes in DuckDB. Finally, Anas Dorbani will showcase the FlockMTL community extension that enables seamless LLMs and RAG in DuckDB.
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🧩 Abigale Kim will present her survey on how different databases can be extended and how DuckDB's extension mechanism stacks up against the competition.
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🕰️ Richard Wesley will share his work on datetime support and efficient window functions in DuckDB. ⚡️ In our lightning block section, Torsten Grust will show how his research group in Tübingen takes recursive common table expressions to their limits.
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🔍 We'll have two deep-dive presentations from DuckDB's developers: Laurens Kuiper will talk about how his PhD is centered around DuckDB and explain how sorting got multiple tries to get right in DuckDB.
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We are hosting the first “DuckDB in Science” meetup on September 4 in London, co-located with VLDB 2025. 🧵 For details, see the thread.
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New blog post by Petrica Leuca: Basic Feature Engineering with DuckDB In this post, we show how to perform essential machine learning data preprocessing tasks – like missing value imputation – directly in DuckDB using SQL and benchmark it against scikit-learn.
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🎓 On the evening of September 4, we are hosting a meetup in London which will focus on the use of DuckDB in Science and Education! ⚡️ We still have some spots for lightning talks. If you are working with DuckDB in your research and/or classroom, consider sharing your story! 🔗
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🔥 DuckDB is featured in @fireship_dev's “100 seconds” series: https://t.co/WUSV36jsFI 🚀
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We just published a deep dive on spatial joins in DuckDB by @Maxxen_. In this blog post, Max explains how spatial joins evolved in DuckDB and how the current operator harnesses R-Trees. Read the full post at https://t.co/YtcbMHKeJt
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Hannes Mühleisen, Co-Creator of @duckdb, will be talking about the DuckLake project at the Open Lakehouse Meetup in Amsterdam on August 27th! Don't miss it. 🦆🦀 Sign up here ➡️ https://t.co/3sPIMI9fo1
#duckdb #opensource #oss #deltalake #openlakehouse
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Turns out the latest @apple OSS work called Atlas also uses @duckdb! Taking a leaf straight out of @huggingface which uses DuckDB WASM for their data explorer
If you work with Parquet, JSON or CSV files, you should really write more DuckDB — here's 3 most important reasons why: 1. It can handle datasets larger than your RAM quite efficiently
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