BigCache
pogreb
| BigCache | pogreb | |
|---|---|---|
| 1 | 4 | |
| 7,202 | 1,228 | |
| 0.7% | - | |
| 6.2 | 5.3 | |
| 8 days ago | 4 months ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
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BigCache
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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 .
pogreb
- Sparkey is a simple constant key/value storage library
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Open Source Databases in Go
pogreb - Embedded key-value store for read-heavy workloads.
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Recommendation for Key/Value storage
I will agree with built in maps, badger, and bbolt as previously mentioned. Some unique cases require that you do many read. Take a look at the design of https://github.com/akrylysov/pogreb.
What are some alternatives?
go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
nutsdb - A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set.
groupcache - groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases.
badger - Fast key-value DB in Go.
ristretto - A high performance memory-bound Go cache
Bitcask - 🔑 A high performance Key/Value store written in Go with a predictable read/write performance and high throughput. Uses a Bitcask on-disk layout (LSM+WAL) similar to Riak.
GCache - An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC
dgraph - The high-performance database for modern applications
pebble - RocksDB/LevelDB inspired key-value database in Go
fastcache - Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead