#go #consensus #database #distributed_database #distributed_systems #etcd #key_value #kubernetes #raft

https://github.com/etcd-io/etcd

#go #database #golang #immutable #immutable_database #key_value #merkle_tree #sensitive_data #tamperproof #verification

https://github.com/codenotary/immudb

#rust #cncf #consensus #distributed_transactions #key_value #raft #rocksdb #tidb #tikv

https://github.com/tikv/tikv

#go #redis #cli #golang #embedded #database #key_value #data_structures #kv_store

https://github.com/roseduan/rosedb

#go #cache #database #databases #disk #distributed_database #distributed_systems #golang #high_performance #key_value #kvstore #leveldb #lsm #nosql #persistence #raft #redis #storage

https://github.com/gitsrc/IceFireDB

#rust #cncf #consensus #distributed_transactions #hacktoberfest #key_value #raft #rocksdb #rust #tidb #tikv

TiKV is a free, open-source database that helps you store and manage data in a reliable and scalable way. It supports both key-value and transactional operations, ensuring your data is consistent and secure. TiKV is designed to handle large amounts of data and can easily scale to meet your needs. It also works well with other databases like TiDB, making it a powerful tool for complex data management. Using TiKV, you can ensure your data is consistently updated across different locations, and it provides features like geo-replication and distributed transactions, which are beneficial for large-scale applications. This makes TiKV a valuable choice for anyone looking to manage big data efficiently.

https://github.com/tikv/tikv

#cplusplus #cache #cpp #database #fibers #in_memory #in_memory_database #key_value #keydb #memcached #message_broker #multi_threading #nosql #redis #valkey #vector_search

Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4].

https://github.com/dragonflydb/dragonfly