ristretto
Tendis
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ristretto | Tendis | |
---|---|---|
19 | 8 | |
5,306 | 2,826 | |
1.4% | 2.3% | |
6.1 | 8.2 | |
28 days ago | 3 months ago | |
Go | C++ | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
ristretto
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Otter, Fastest Go in-memory cache based on S3-FIFO algorithm
1. Unfortunately, ristretto has been showing hit ratio around 0 on almost all traces for a very long time now and the authors don't respond to this in any way. Vitess for example has already changed it to another cache. Here are two issues about it: https://github.com/dgraph-io/ristretto/issues/346 and https://github.com/dgraph-io/ristretto/issues/336. That is, ristretto shows such results even on its own benchmarks. You can see it just by running hit ratio benchmarks on a very simple zipf distribution from the ristretto repository: https://github.com/dgraph-io/ristretto/blob/main/stress_test.... On this test I got the following:
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S3 Express Is All You Need
That's exactly how Userify[0] used to work. (when it was Python; now that it's a Go app, we do the caching in memory using Ristretto[1]).
0. https://userify.com (team ssh key management/sudo authz)
1. https://github.com/dgraph-io/ristretto
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Theine - High performance in-memory cache
I also do some hit ratio benchmarks and Theine's results are much better than Ristretto. See results in README: https://github.com/Yiling-J/theine-go#hit-ratios
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Python deserves a good in-memory cache library!
If you know Caffeine(Java)/Ristretto(Go)/Moka(Rust), you know what Theine is. Python deserves a good in-memory cache library.
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VCache: A Simple In-Memory Cache Library
Thanks for sharing. There are a lot of options for embedded in-memory caches: https://github.com/dgraph-io/ristretto https://awesome-go.com/caches/ Do you have any comparisons or details on how your project has a different approach?
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Cacheme: Asyncio cache framework with multiple storages and thundering herd protection
I made Cacheme years ago, which support redis and synchronous API only. Then I switch to Go and found that there are some awesome cache projects in Go(ristretto, gocache...), I also made my own Cacheme go version: cacheme-go. After trying asyncio and type hint, I think it's time to rewrite my old Cacheme.
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Show HN: Zcached, in-memory key-value cache wire-compatible with memcached
zcached is an in-memory key-value cache exposing a memcached ASCII protocol-compatible interface, built on pluggable cache engines like Ristretto and freecache [0].
It's not performance-competitive with memcached, especially at higher thread counts. That said, it achieves about 1.1M ops/s, but at significantly higher P99 and P999 latency (as measured by memtier). See [1] and [2] for benchmark results from my 7950x-based workstation.
Disclaimer: This is a hobby project created for fun while hacking over the holidays. zcached is not a commercial product and never will be. Don't use it in production; consider this a technology demo more than anything.
I don't expect the source code to build outside of my environment, but for those interested in playing with it, binary artifacts are available at [3]. Try `zcached --address tcp:localhost:11211`.
[0] https://github.com/dgraph-io/ristretto, https://github.com/coocood/freecache
- What is the coolest Go open source projects you have seen?
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Quitting Dgraph Labs
While I never used dgraph, I do use badger and ristretto and am similarly in a bind over their long-term survival (moreso badger than ristretto)...
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Recommendation for Key/Value storage
There are also different packages used as a wrapper on top of the Go map based on what your requirements are (storing a lot of data) https://github.com/allegro/bigcache or (need performance) https://github.com/dgraph-io/ristretto. For basic use-cases, the standard Go map should be enough. Just keep in mind whether you need concurrent access to your data structure, in which case you should guard your map with a mutex .
Tendis
- Redis as a Database
- I deleted 78% of my Redis container and it still works
- Redis Cluster Re-Implemented in Rust: Scaling Redis Easily in Kubernetes
- IceFireDB: Distributed disk storage database based on Raft and Redis protocol
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IceFireDB:Distributed disk storage database based on Raft and Redis protocol.
There is a project called Tendis, the architecture of IceFireDB is different from it, but they are all based on disk storage and resp protocol. Thank you for your attention and contact at any time
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KeyDB CEO Interview: Getting into YC with a Fork of Redis
Does anyone have any experience with these other Redis clones? I need to write a benchmark on these someday (the outline for the blog post is already written), but have restricted my yak shaving recently:
- https://github.com/Tencent/Tendis
- https://github.com/Netflix/dynomite
On a separate note, is FLASH supposed to be an acronym? I can't tell if they're referring to flash storage (SSD, NVMe) or they're referring to perhaps a special algorithm that uses flash storage +/- some other features, or some altogether proprietary hardware.
- Tendis distributed storage engine, compatible with Redis protocol
- Tendis: A high-performance distributed storage system
What are some alternatives?
go-cache-benchmark - Cache benchmark for Golang
kvrocks - Apache Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.
BigCache - Efficient cache for gigabytes of data written in Go.
KeyDB - A Multithreaded Fork of Redis
stretto - Stretto is a Rust implementation for Dgraph's ristretto (https://github.com/dgraph-io/ristretto). A high performance memory-bound Rust cache.
SSDB - SSDB - A fast NoSQL database, an alternative to Redis
moka - A high performance concurrent caching library for Rust
IceFireDB - @IceFireLabs -> IceFireDB is a database built for web3.0 It strives to fill the gap between web2 and web3.0 with a friendly database experience, making web3 application data storage more convenient, and making it easier for web2 applications to achieve decentralization and data immutability.
parquet-go - Go library to read/write Parquet files
mini-redis - Incomplete Redis client and server implementation using Tokio - for learning purposes only
ledisdb - A high performance NoSQL Database Server powered by Go