betawaffle/pogreb — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2018-01-07
Cache user profiles that are read thousands of times a day but updated only once.
Serve articles or config files in a content delivery system that rarely changes its data.
Back an analytics dashboard that repeatedly queries historical data while new data trickles in slowly.
Replace a full external database server with an embedded store for a Go app needing fast lookups.
| betawaffle/pogreb | 42wim/fabio | 42wim/go-xmpp | |
|---|---|---|---|
| Language | Go | Go | Go |
| Last pushed | 2018-01-07 | 2018-02-04 | 2020-01-24 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 2/5 | 3/5 | 3/5 |
| Audience | developer | ops devops | developer |
Figures from each repo's GitHub metadata at analysis time.
Pogreb is a lightweight database engine designed for applications that read data far more often than they write it. Instead of relying on an external database server, it lives directly inside your Go application as an embedded library, similar to how SQLite works for other languages. This means faster access times since there's no network overhead, and simpler deployment since you don't need to manage a separate database process. The core appeal is efficiency. Pogreb is built to handle datasets larger than your computer's available memory, yet use very little RAM in the process. It achieves this through careful data storage on disk and smart caching strategies. Because it's written entirely in Go, it integrates seamlessly into Go applications without extra dependencies. The database also supports multiple parts of your program accessing it simultaneously without conflicts, which is important for modern applications that do many things at once. You'd use Pogreb for scenarios where you're storing and frequently retrieving data, but changes happen rarely. For example: a content delivery system that loads articles or configuration files constantly but only adds new ones occasionally, a web service that caches user profiles that are read thousands of times but updated once a day, or an analytics dashboard that queries historical data repeatedly while new data arrives slowly. Essentially, anywhere you need fast lookups without the overhead and complexity of setting up a full database server. The API is straightforward, you open a database by pointing to a folder on disk, then use simple methods to store key-value pairs (think of a key as a label and a value as the data attached to it), retrieve them, or scan through everything. The library handles all the complex details of organizing data on disk and keeping frequently-used items in memory automatically. Performance benchmarks show it significantly outperforms other popular embedded Go databases on read operations, which is exactly what it's optimized for.
An embedded key-value database for Go apps, built for workloads that read data far more often than they write it, handling datasets bigger than RAM while using very little memory.
Mainly Go. The stack also includes Go.
Dormant — no commits in 2+ years (last push 2018-01-07).
License is not stated in the available content.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.