Tendis
SSDB
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Tendis | SSDB | |
---|---|---|
7 | 12 | |
2,537 | 8,043 | |
1.3% | - | |
6.9 | 0.0 | |
5 months ago | 7 months ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" 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.
Tendis
- 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.
SSDB
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Building a distributed task queue in Python
> Or wanting to shift the architecture entirely to avoid using memory-bound Redis as a queue with an overflow risk.
I wanted to use SSDB[1] instead of Redis for that reason, but it doesn't support the necessary data structures.
- I deleted 78% of my Redis container and it still works
- SSDB
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Tell HN: Memcached and Redis Considered Harmful
It's 2021 and we have extremely fast key-value lookups using LevelDB/RocksDB, but we're still using RAM-based caching tools [1] [2] [3]. It's time to consider RAM-based caching harmful, and start caching with SSDs for larger datasets and lower costs. For ex: SSDB [4]
[1] https://redis.io/
[2] https://memcached.org/
[3] https://news.ycombinator.com/item?id=29532552
[4] https://github.com/ideawu/ssdb#ssdb-vs-redis
- SSDB - A hard drive based drop-in Redis replacement/clone
- KeyDB CEO Interview: Getting into YC with a Fork of Redis
What are some alternatives?
KeyDB - A Multithreaded Fork of Redis
incubator-kvrocks - Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.
mini-redis - Incomplete Redis client and server implementation using Tokio - for learning purposes only
IceFireDB - IceFireDB is a database built for web3 and web2. It strives to fill the gap between web2 and web3 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.
ledisdb - A high performance NoSQL Database Server powered by Go
Seastar - High performance server-side application framework
dynomite - A generic dynamo implementation for different k-v storage engines
Memcached - memcached development tree
memKeyDB - MemKeyDB is a fork of Redis, adjusted to store objects on both Intel Optane Persistent Memory and DRAM.