pogreb alternatives and similar packages
Based on the "Database" category.
Alternatively, view pogreb alternatives based on common mentions on social networks and blogs.
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vitess
vitess provides servers and tools which facilitate scaling of MySQL databases for large scale web services. -
groupcache
Groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases. -
TinyGo
Go compiler for small places. Microcontrollers, WebAssembly, and command-line tools. Based on LLVM. -
go-cache
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications. -
VictoriaMetrics
fast, resource-effective and scalable open source time series database. May be used as long-term remote storage for Prometheus. Supports PromQL. -
buntdb
A fast, embeddable, in-memory key/value database for Go with custom indexing and spatial support. -
xo
Generate idiomatic Go code for databases based on existing schema definitions or custom queries supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server. -
sql-migrate
Database migration tool. Allows embedding migrations into the application using go-bindata. -
immudb
immudb is a lightweight, high-speed immutable database for systems and applications written in Go. -
nutsdb
Nutsdb is 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. -
skeema
Pure-SQL schema management system for MySQL, with support for sharding and external online schema change tools. -
Bitcask
Bitcask is an embeddable, persistent and fast key-value (KV) database written in pure Go with predictable read/write performance, low latency and high throughput thanks to the bitcask on-disk layout (LSM+WAL). -
eliasdb
Dependency-free, transactional graph database with REST API, phrase search and SQL-like query language.
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README
Pogreb
Pogreb is an embedded key-value store for read-heavy workloads written in Go.
Key characteristics
- 100% Go.
- Optimized for fast random lookups and infrequent bulk inserts.
- Can store larger-than-memory data sets.
- Low memory usage.
- All DB methods are safe for concurrent use by multiple goroutines.
Installation
$ go get -u github.com/akrylysov/pogreb
Usage
Opening a database
To open or create a new database, use the pogreb.Open() function:
package main
import (
"log"
"github.com/akrylysov/pogreb"
)
func main() {
db, err := pogreb.Open("pogreb.test", nil)
if err != nil {
log.Fatal(err)
return
}
defer db.Close()
}
Writing to a database
Use the DB.Put() function to insert a new key-value pair:
err := db.Put([]byte("testKey"), []byte("testValue"))
if err != nil {
log.Fatal(err)
}
Reading from a database
To retrieve the inserted value, use the DB.Get() function:
val, err := db.Get([]byte("testKey"))
if err != nil {
log.Fatal(err)
}
log.Printf("%s", val)
Iterating over items
To iterate over items, use ItemIterator returned by DB.Items():
it := db.Items()
for {
key, val, err := it.Next()
if err == pogreb.ErrIterationDone {
break
}
if err != nil {
log.Fatal(err)
}
log.Printf("%s %s", key, val)
}
Performance
The benchmarking code can be found in the pogreb-bench repository.
Results of read performance benchmark of pogreb, goleveldb, bolt and badgerdb on DigitalOcean 8 CPUs / 16 GB RAM / 160 GB SSD + Ubuntu 16.04.3 (higher is better):