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Some pictures of the CWI lectures on database architecture, more here: cwida.github.io/dbdbd2024/dijk… 🙏 to marcin.zukowski + Andy Pavlo (@andypavlo.bsky.social) @MadelonHulsebos Hannes Muehleisen, Viktor Leis and Allison Lee for their contributions, but also to all who made this a great event and attended!

Furthermore, we have now posted the video's of these lectures now in the Dutch Seminar on Data Systems Design (Dutch Seminar on Data Systems Design) seminar YT channel: bit.ly/cwida-dijkstra… many 🙏 @DLJtenWolde & Leonardo Kuffo Rivero from wida xie for editing!

The video for my "What Goes Around Comes Around... And Around" talk at CWI DA is now available: youtube.com/watch?v=8Woy5I… 📊Slides: cs.cmu.edu/~pavlo/slides/… 📄Paper: db.cs.cmu.edu/papers/2024/wh…

Introducing Willow, our new state-of-the-art quantum computing chip with a breakthrough that can reduce errors exponentially as we scale up using more qubits, cracking a 30-year challenge in the field. In benchmark tests, Willow solved a standard computation in <5 mins that would

Buckle up because we're crashing into the new year with my annual database retrospective: License change blowbacks! Databricks vs. SnowflakeDB gangwar! @DuckDB shotgun weddings! Buying a college quarterback with database money for your new lover! cs.cmu.edu/~pavlo/blog/20…

Who's ready? #AGDQ2025 begins tomorrow! Last year, Games Done Quick 🔜 #SGDQ2025 raised over $2.5 million for Prevent Cancer Foundation! That's $2.5 million for research, free cancer screenings & more—across the U.S. & around the 🌎. Tune in tomorrow beginning at 11:30 a.m. ET. ⬇️ twitch.tv/gamesdonequick

🚨🇪🇨 ¡EL VIDEO DE MR. BEAST EN ECUADOR! El famoso youtuber, #MrBeast, visitó hace algunos meses nuestro país y muchos desconocían el motivo. Pues hoy lanzó un video donde ayudó a 2000 personas con amputaciones, para que volvieran a caminar. 50 de ellas fueron en Ecuador.

PDX: A Data Layout for Vector Similarity Search Introduces a vertical data layout for vectors that accelerates similarity search through dimension-by-dimension processing, outperforming SIMD-optimized kernels. 📝arxiv.org/abs/2503.04422 👨🏽‍💻github.com/cwida/PDX

Que vuelvan las corridas de toros a Baleares ya es una vergüenza, pero sentirse orgulloso de que los niños puedan disfrutar del maltrato animal es de absoluto degenerado.

Bang for the Buck: Vector Search on Cloud CPUs Leonardo Kuffo et al. reveal that AWS Graviton3 provides best queries-per-dollar for vector search, even outperforming newer architectures, while CPU performance varies significantly. 📝arxiv.org/abs/2505.07621

New paper from CWI on price-performance for different vector search architectures on different cloud CPU architectures 👀 arxiv.org/abs/2505.07621

Are you doing Vector Search in the cloud? Choose your instances carefully! A cheaper one may be 3x faster! In this article, we explore which CPUs available in AWS are the best for vector search algorithms (and why) We will present this work at #DAMON2025 SIGMOD/PODS 2025 Peter Boncz

Cloud, Vector Search Speed & Costs, and the Importance of SIMD An interesting study was just published on @arXiv - comparing Meta’s FAISS to @Unum_Cloud USearch. Looks realistic and is the perfect starting point for my next wave of optimizations 😊 arxiv.org/pdf/2505.07621

This paper benchmarks different cloud CPUs across vector search methods and quantization to find the best cost-performance balance. Methods 🔧: → Different CPU microarchitectures like AWS Graviton 3 and AMD Zen 4 were evaluated. → Benchmarks used Inverted Files (IVF) and

Aunque parezca fuerte no quiere decir que nada me lastima

Today we're launching DuckLake, an integrated data lake and catalog format powered by SQL. DuckLake unlocks next-generation data warehousing where compute is local, consistency central, and storage scales till infinity. ⁠DuckLake is an open standard and we've implemented it in

But CWI DA has no reason to complain, here in Berlin. Leonardo Kuffo at the preceding DaMoN2025 workshop won the Best Paper Award for a study that showed that for vector databases, it matters a lot which AWS CPU you pick. Congratulations to him!

And.. Azim Afroozeh put a lot of effort in open-sourcing the ALP floating point compressor (github.com/cwida/ALP). Leonardo Kuffo had written with him the SIGMOD2024 paper which now won a reproducibility award! + 🙏🙏 to the reproducibility committee - this is a ton of work

Leonardo Kuffo presenting his SIGMOD2025 paper on PDX. PDX is a vertical layout that can accelerate vector search in principle in any vector index technique (it makes the distance calculation faster, using better SIMD + pruning). ir.cwi.nl/pub/35044/3504… github.com/cwida/PDX

SIGMOD/PODS 2025 Berlin is a wrap! Many 🙏 to the organizers! Next stop for CWI DA is VLDB 2025 🇬🇧 London to present: - github.com/cwida/FastLanes v0.1 - spilling multi-operator joins (via DuckDB Labs) - the SQLStorm benchmark consisting of 30k LLM-generated complex queries (via TUM)