go-memdb VS lungo

Compare go-memdb vs lungo and see what are their differences.

go-memdb

Golang in-memory database built on immutable radix trees (by hashicorp)

lungo

A MongoDB compatible embeddable database and toolkit for Go. (by 256dpi)
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go-memdb lungo
3 2
3,070 448
1.7% -
3.6 5.2
2 months ago 29 days ago
Go Go
Mozilla Public 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-memdb

Posts with mentions or reviews of go-memdb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-30.
  • I created an in-memory SQL database called MemSQL as a learning project
    3 projects | /r/golang | 30 Mar 2023
    For another in-memory database example, you could also check out https://github.com/hashicorp/go-memdb, but it's based on a radix tree implementation.
  • Why use a real K/V database over a MapStore?
    2 projects | /r/golang | 10 May 2021
    I just think its a glorified map. Yeah, for example go-memdb list some of its advantages in their https://github.com/hashicorp/go-memdb/blob/master/README.md README. But it is not clear whether you gain any performance gain over a map except for avoiding the locking as explained.
  • An Unlikely Database Migration
    6 projects | news.ycombinator.com | 13 Jan 2021
    >So we invested what probably amounts to two or three weeks of engineering time into designing in-memory indexes that are transactionally consistent

    I'll be interested to see that part if it does get open sourced. I've used https://github.com/hashicorp/go-memdb which sounds similar.

lungo

Posts with mentions or reviews of lungo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-20.
  • Show HN: Mongita is to MongoDB as SQLite is to SQL
    7 projects | news.ycombinator.com | 20 Apr 2021
  • An Unlikely Database Migration
    6 projects | news.ycombinator.com | 13 Jan 2021
    I found myself in a similar situation sometime ago with MongoDB. In one project my unit tests started slowing me down too much to be productive. In another, I had so little data that running a server alongside it was a waste of resources. I invested a couple of weeks in developing a SQLite type of library[1] for Go that implemented the official Go drivers API with a small wrapper to select between the two. Up until now, it paid huge dividends in both projects ongoing simplicity and was totally worth the investment.

    [1]: https://github.com/256dpi/lungo

What are some alternatives?

When comparing go-memdb and lungo you can also consider the following projects:

dbbench - 🏋️ dbbench is a simple database benchmarking tool which supports several databases and own scripts

mongita - "Mongita is to MongoDB as SQLite is to SQL"

badger - Fast key-value DB in Go.

indradb - A graph database written in rust

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

mongodb-memory-server - Spinning up mongod in memory for fast tests. If you run tests in parallel this lib helps to spin up dedicated mongodb servers for every test file in MacOS, *nix, Windows or CI environments (in most cases with zero-config).

bolt

sortedcontainers - Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set

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

lua-mongo - MongoDB Driver for Lua

cockroach - CockroachDB - the open source, cloud-native distributed SQL database.

SQLBoiler - Generate a Go ORM tailored to your database schema.