cacheme-go
🚀 Schema based, typed Redis caching/memoize framework for Go (by Yiling-J)
Storm
Simple and powerful toolkit for BoltDB (by asdine)
Our great sponsors
cacheme-go | Storm | |
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2 | 4 | |
24 | 2,043 | |
- | - | |
2.6 | 0.0 | |
over 2 years ago | 4 months 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.
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.
cacheme-go
Posts with mentions or reviews of cacheme-go.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-27.
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Cacheme: Asyncio cache framework with multiple storages and thundering herd protection
I made Cacheme years ago, which support redis and synchronous API only. Then I switch to Go and found that there are some awesome cache projects in Go(ristretto, gocache...), I also made my own Cacheme go version: cacheme-go. After trying asyncio and type hint, I think it's time to rewrite my old Cacheme.
- cacheme - Schema based, typed Redis caching/memoize framework for Go
Storm
Posts with mentions or reviews of Storm.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-11.
- Resource for making database from scratch
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BoltDB performance hit with large values?
I'm wanting to store some wasm modules (as []byte) in BoltDB. Right now the modules are <1MB, but eventually, they could be 10-50MB in size. Is this going to reduce the performance of BoltDB all around, if the size of a value is this large? If it makes a difference, I'm using the Storm toolkit for querying.
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Do you use an embedded NoSQL database?
I’ve used boltdb with storm, works well: https://github.com/asdine/storm
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Using BoltDB as internal database 💾
Storm is a simple and powerful toolkit for BoltDB. Basically, Storm provides indexes, a wide range of methods to store and fetch data, an advanced query system, and much more. GitHub: https://github.com/asdine/storm
What are some alternatives?
When comparing cacheme-go and Storm you can also consider the following projects:
ent - An entity framework for Go
GORM - The fantastic ORM library for Golang, aims to be developer friendly
go-pg - Golang ORM with focus on PostgreSQL features and performance
beego orm
upper.io/db - Data access layer for PostgreSQL, CockroachDB, MySQL, SQLite and MongoDB with ORM-like features.
REL - :gem: Modern ORM for Golang - Testable, Extendable and Crafted Into a Clean and Elegant API
Zoom - A blazing-fast datastore and querying engine for Go built on Redis.
gomodel