Recommendation for Key/Value storage

• badger

  30 13,367 6.7 Go

  Fast key-value DB in Go.

  

BoltDB and Badger are the most popular options. If you don't want to use a third-party package you'll have to reinvent it. Still, you can use one of these two as examples. You'll also find plenty of tutorials online, like this one.

• pogreb

  4 1,221 5.3 Go

  Embedded key-value store for read-heavy workloads written in Go

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.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• bolthold

  2 629 4.5 Go

  BoltHold is an embeddable NoSQL store for Go types built on BoltDB

There's a great wrapper library around bolt (and badger, by the same guy): https://github.com/timshannon/bolthold

• Redis

  32 19,284 8.8 Go

  Redis Go client

  

• pebble

  11 4,439 9.8 Go

  RocksDB/LevelDB inspired key-value database in Go

  

• BigCache

  1 7,192 6.3 Go

  Efficient cache for gigabytes of data written in Go.

  

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 .

• ristretto

  19 5,306 6.1 Go

  A high performance memory-bound Go cache

  

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 .

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project