ScaleStore

That is really interesting. It indeed reminds me a bit on this research project https://github.com/DataManagementLab/ScaleStore (the one Andy posted the analysis)

I don't remember exactly why I have any of them saved, but these are some experimental data stores that seems to be fitting what you're looking for somewhat: - https://github.com/DataManagementLab/ScaleStore - "A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA" - https://github.com/unum-cloud/udisk (https://github.com/unum-cloud/ustore) - "The fastest ACID-transactional persisted Key-Value store designed for NVMe block-devices with GPU-acceleration and SPDK to bypass the Linux kernel." - https://github.com/capsuleman/ssd-nvme-database - "Columnar database on SSD NVMe"

The linked blog post at the top of this article - https://muratbuffalo.blogspot.com/2023/01/is-scalable-oltp-i... - provides graphics that give extremely useful context. And here's the repo for the paper that discusses: https://github.com/DataManagementLab/ScaleStore The idea that one of many writer-compute-nodes can literally reach into a memory buffer that is shared across machines, atomically flip some lock bits and propagate some cache-coherence messages, and use that to build a multi-writer distributed database without needing to partition (and where any writer-compute-node can handle any message, so you can just round-robin a firehose of messages at them)... and that there's a chance (though not yet implemented) that one could implement ACID on top of this? It's absolute madness, and wildly exciting.