luma.com/xygolo9c
luma.com/xygolo9c
youtu.be/f1bz3efUJpM
youtu.be/f1bz3efUJpM
luma.com/v69tvpla
luma.com/v69tvpla
www.vldb.org/pvldb/v...
Whereas VMCache improve pointer swizzing's complexity by removing the swizzling, this work points out that page and frame hints are highly effective, and okay if they're wrong.
www.vldb.org/pvldb/v...
Whereas VMCache improve pointer swizzing's complexity by removing the swizzling, this work points out that page and frame hints are highly effective, and okay if they're wrong.
Start at transactional.blog/copy-and-pat...
Start at transactional.blog/copy-and-pat...
Register now!
luma.com/9o6bahgc
Register now!
luma.com/9o6bahgc
@codedrift.social gave a great talk on WebAssembly: what it is (and isn't), how it connects to WASI, and promising projects. He cuts through a lot of the hype vs. reality. Recording coming soon.
@codedrift.social gave a great talk on WebAssembly: what it is (and isn't), how it connects to WASI, and promising projects. He cuts through a lot of the hype vs. reality. Recording coming soon.
Pushdown
www.cs.princeton.edu...
Tightly integrating an Iceberg catalog with an object store means that one could make file-format aware erasure coding decisions, to permit pushing down filters and aggregations.
Pushdown
www.cs.princeton.edu...
Tightly integrating an Iceberg catalog with an object store means that one could make file-format aware erasure coding decisions, to permit pushing down filters and aggregations.
www.vldb.org/pvldb/v...
If you've ever wished that there was a document database equivalent for relational databases' 3NF-style schema design guidance, then this is the paper for you.
www.vldb.org/pvldb/v...
If you've ever wished that there was a document database equivalent for relational databases' 3NF-style schema design guidance, then this is the paper for you.
arxiv.org/abs/2508.2...
It's impossible to retrieve all combinations of pairs of documents post-embedding. Thus, there's usecases that vector search won't do well at. Conversely, BM25 excels in these cases.
arxiv.org/abs/2508.2...
It's impossible to retrieve all combinations of pairs of documents post-embedding. Thus, there's usecases that vector search won't do well at. Conversely, BM25 excels in these cases.
www.vldb.org/pvldb/v...
It feels like a follow-on/improvement to ACORN. Also interesting to see HNSW built directly on a graph database working well.
www.vldb.org/pvldb/v...
It feels like a follow-on/improvement to ACORN. Also interesting to see HNSW built directly on a graph database working well.
👥 Authors: Emmanouil Giortamis, Antonios Katsarakis, Vasilis Gavrielatos, Pramod Bhatotia, Aleksandar Dragojevic, Boris Grot, Vijay Nagarajan,...
📄 PDF: https://www.vldb.org/pvldb/vol18/p2831-giortamis.pdf
1. Watch the talk: www.youtube.com/watch?v=omOH... (h/t @wslim.bsky.social)
2. Read the spec/book: mihaibudiu.github.io/work/dbsp-sp... (h/t @avi.im)
3. Read the VLDB paper
List is ordered by assumed knowledge of reader
1. Watch the talk: www.youtube.com/watch?v=omOH... (h/t @wslim.bsky.social)
2. Read the spec/book: mihaibudiu.github.io/work/dbsp-sp... (h/t @avi.im)
3. Read the VLDB paper
List is ordered by assumed knowledge of reader
I memoized the response on my blog. brooker.co.za/blog/2025/08...
I memoized the response on my blog. brooker.co.za/blog/2025/08...
Processing Platform Optimized for Efficient Data Movement
arxiv.org/pdf/2508.0...
Great to see that Voltron Data folk writing about their GPU database!
Processing Platform Optimized for Efficient Data Movement
arxiv.org/pdf/2508.0...
Great to see that Voltron Data folk writing about their GPU database!
@andypavlo.bsky.social discussed the 50-year history of database tuning, applying AI/ML to the problem, and the future of auto-tuning (agentic reasoning, of course).
@andypavlo.bsky.social discussed the 50-year history of database tuning, applying AI/ML to the problem, and the future of auto-tuning (agentic reasoning, of course).