solid_cache
ScaleStore
| solid_cache | ScaleStore | |
|---|---|---|
| 5 | 2 | |
| 794 | 113 | |
| 3.7% | 1.8% | |
| 9.0 | 3.4 | |
| 5 days ago | 7 months ago | |
| Ruby | C++ | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
solid_cache
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Redis license change, and Rails Solid Cache
View on GitHub
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Five Apache projects you probably didn't know about
Cool. This post is right beside the 37signals one[1] that mentions SolidCache[0].
I discovered two solutions in one day.
[0] https://github.com/rails/solid_cache
[1] https://news.ycombinator.com/item?id=38710927
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AMD Ryzen 5 3600 vs Intel® Core i5-13500 server for Ruby on Rails
No Redis - I want to try out SolidCache & DB based ActiveJobs (so no Sidekiq either)
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Ask HN: Why are there no open source NVMe-native key value stores in 2023?
Is that discussion/implementation of nvme available somewhere in public?
https://github.com/rails/solid_cache didn't include anything about NVME that I could find.
- Solid Cache – a database-backed Rails cache
ScaleStore
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Ask HN: Why are there no open source NVMe-native key value stores in 2023?
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 - "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"
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The end of a myth: Distributed transactions can scale
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.
What are some alternatives?
kvrocks - Apache Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.
KVRocks - RocksDB compatible key value store and MyRocks compatible storage engine designed for KV SSD
udisk - The fastest ACID-transactional persisted Key-Value store designed as modified LSM-Tree for NVMe block-devices with GPU-acceleration and SPDK to bypass the Linux kernel
uNVMe - KV and LBA SSD userspace NVMe driver
KVSSD - KV SSD host software including APIs and drivers
ssd-nvme-database - Columnar database on SSD NVMe
yottaStore - A datastore aiming at linear scalability up to the yottabyte range. Inspired by dynamo and cassandra.
service-fabric - Service Fabric is a distributed systems platform for packaging, deploying, and managing stateless and stateful distributed applications and containers at large scale.
xnvme - Portable and high-performance libraries and tools for NVMe devices as well as support for traditional/legacy storage devices/interfaces.