We just published a deep dive on spatial joins in DuckDB by Max Gabrielsson. In the new post, Max explains how spatial joins evolved in DuckDB and how the current operator harnesses R-Trees. He presents benchmarks showing how the spatial extension in DuckDB 1.3 is now capable of performing exploratory analysis on the NYC bike rental data set. 🔗 See the link in the comments.
Over ons
DuckDB is an analytical in-process SQL database management system. It is simple, feature-rich, fast, extensible, and comes with the permissive MIT open-source license. "DuckDB" and the DuckDB logo are registered trademarks of the DuckDB Foundation.
- Website
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https://xmrrwallet.com/cmx.pduckdb.org/
Externe link voor DuckDB
- Branche
- Gegevensinfrastructuur en -analyse
- Bedrijfsgrootte
- 11 - 50 medewerkers
- Hoofdkantoor
- Amsterdam, Noord-Holland
- Type
- Non-profit
- Opgericht
- 2018
Locaties
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Primair
Science Park 404
Amsterdam, Noord-Holland 1098XH, NL
Medewerkers van DuckDB
Updates
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DuckDB heeft dit gerepost
🚀 Excited to announce the release of the hashfuncs extension for DuckDB! 🎉 This powerful new extension adds a suite of high-performance, non-cryptographic hash functions — including xxHash, RapidHash, and MurmurHash3 — directly into DuckDB. Whether you’re working on database indexing, data partitioning, caching, or implementing Bloom filters, hashfuncs offers fast and reliable hashing optimized for modern workloads. Getting started is easy with DuckDB’s community extensions: simply install and load hashfuncs to supercharge your data workflows. Explore more and start hashing smarter ➡️ https://xmrrwallet.com/cmx.plnkd.in/efdVjBQm #DuckDB #DataEngineering #HashFunctions #OpenSource #SQL #BigData #xxhash #DuckDBExtension #QueryFarm
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We are happy to share that our own Hannes Mühleisen will be talking about the DuckLake project at the Open Lakehouse Meetup in Amsterdam on August the 27th. Sign up here https://xmrrwallet.com/cmx.plu.ma/OLM-827
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DuckDB heeft dit gerepost
I'm going to be answering questions in the chat during this video premiere running right now https://xmrrwallet.com/cmx.plnkd.in/eVHSpVVh
DuckLake - The SQL-Powered Lakehouse Format for the Rest of Us by Prof. Hannes Mühleisen
https://xmrrwallet.com/cmx.pwww.youtube.com/
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🌊 DuckLake now has its own blog and we've republished the updates on the DuckLake 0.2 standard over there: 🔗 https://xmrrwallet.com/cmx.plnkd.in/djg8VN_Y
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All primary DuckDB clients – Go, Java, Node.js, R, Rust, etc. – have been upgraded to DuckDB v1.3.2.
🚀 The DuckDB 1.3.2 bugfix release is out! 📦 The Python and CLI clients are already on the latest version, while the rest will follow in the coming days. 🔖 See the detailed change log at https://xmrrwallet.com/cmx.plnkd.in/dqZQT2dr
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🚀 The DuckDB 1.3.2 bugfix release is out! 📦 The Python and CLI clients are already on the latest version, while the rest will follow in the coming days. 🔖 See the detailed change log at https://xmrrwallet.com/cmx.plnkd.in/dqZQT2dr
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New blog post by Petrica Leuca: Discovering DuckDB Use Cases via GitHub > In this post, we use the GitHub API to find repositories that mention DuckDB, then use DuckDB itself to parse and query the results efficiently with SQL. Read more at https://xmrrwallet.com/cmx.plnkd.in/dNDJrbZv
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🎞️ The stream of “DuckLake & The Future of Open Table Formats”, a conversation between Hannes Mühleisen and Jordan Tigani, will start in two hours!
We launched DuckLake just 2.5 weeks ago and have been overwhelmed by the enthusiasm it created in the data community. Curious to learn more about DuckLake? We've got you covered. Next Tuesday, DuckDB co-creator Hannes Mühleisen will talk with MotherDuck CEO Jordan Tigani about DuckLake and the future of open table formats. 📆 June 17 (Tuesday), 8:00 PDT / 17:00 CEST ✍️ Register at https://xmrrwallet.com/cmx.plnkd.in/dgTBZfmm