badger VS nutsdb

Compare badger vs nutsdb and see what are their differences.

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. (by nutsdb)
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badger nutsdb
30 4
13,347 3,287
1.2% 1.2%
7.0 9.0
16 days ago 22 days ago
Go Go
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

badger

Posts with mentions or reviews of badger. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-16.

nutsdb

Posts with mentions or reviews of nutsdb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-09.

What are some alternatives?

When comparing badger and nutsdb you can also consider the following projects:

goleveldb - LevelDB key/value database in Go.

buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support

immudb - immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history

bolt

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

bbolt - An embedded key/value database for Go.

rosedb - Lightweight, fast and reliable key/value storage engine based on Bitcask.

go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.

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.

BigCache - Efficient cache for gigabytes of data written in Go.