go-store VS QBS

Compare go-store vs QBS and see what are their differences.

go-store

A simple and fast Redis backed key-value store library for Go (by gosuri)

QBS

QBS stands for Query By Struct. A Go ORM. (by coocood)
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go-store QBS
0 0
112 546
- -
0.0 0.0
about 7 years ago almost 7 years ago
Go Go
Apache License 2.0 MIT License
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.

go-store

Posts with mentions or reviews of go-store. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning go-store yet.
Tracking mentions began in Dec 2020.

QBS

Posts with mentions or reviews of QBS. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning QBS yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing go-store and QBS you can also consider the following projects:

beego orm

GORM - The fantastic ORM library for Golang, aims to be developer friendly

upper.io/db - Data access layer for PostgreSQL, CockroachDB, MySQL, SQLite and MongoDB with ORM-like features.

go-sql - golang orm and sql builder

pop/soda - A Tasty Treat For All Your Database Needs

lore - Light Object-Relational Environment (LORE) provides a simple and lightweight pseudo-ORM/pseudo-struct-mapping environment for Go

Zoom - A blazing-fast datastore and querying engine for Go built on Redis.

Storm - Simple and powerful toolkit for BoltDB

Xorm

gorp - Go Relational Persistence - an ORM-ish library for Go

go-pg - Golang ORM with focus on PostgreSQL features and performance