| squirrel | badger | |
|---|---|---|
| 2 | 30 | |
| 18 | 13,367 | |
| - | 0.7% | |
| 8.1 | 6.7 | |
| about 2 months ago | 23 days ago | |
| Go | Go | |
| Mozilla Public License 2.0 | Apache License 2.0 |
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squirrel
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Billion File Filesystem
I built https://github.com/anacrolix/squirrel for just this purpose. However you might find that batch inserting empty files might only be 10x faster or so than creating empty files directly on the filesystem if we are to believe the 10k/s the OP achieved.
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Embedded write-heavy on-disk cache, write-amplification
I'm looking for an embedded database/KV-store that supports a write-heavy workload of large blocks of bytes and some kind of eviction policy. I'm currently using sqlite3 with a bunch of triggers and the blob API, but it's not really suitable for write-heavy workloads. I've currently exposed the interface somewhat in https://github.com/anacrolix/squirrel, the primary use case is from https://github.com/anacrolix/torrent. My recent research suggests an LSM-based KV-store like rocksdb or leveldb, but those don't have great interfaces in Go, and don't seem to support an eviction policy as far as I can tell (which is surprising given they would be very well suited to it). There are some alternatives like buntdb, but those all look designed for smaller/string values.
badger
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Anytype helper crashed
github.com/dgraph-io/badger/v3/table.OpenTable(0xc000bb4000, {0x0, 0x1, 0x200000, 0x0, 0x0, 0x3f847ae147ae147b, 0x1000, 0x0, 0x0, ...})
- What would be some database with extreme raw performance? (details in)
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GORM
I' see that I'm also set to check out BadgerDB next. https://github.com/dgraph-io/badger
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Polygon: Json Database System designed to run on small servers (as low as 16MB) and still be fast and flexible.
Some example of embeddable database could be genji, badger and boltdb
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Butter from two CoWs: making a key-value store with btrfs
As I mentioned in a comment above you could probably just use AgageDb (Rust implementation of Badger which is a single file high performance KVP store. Turn off all of its built-in transactional behaviour and see how fast it runs on BTRFS using reflinks instead.
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Building a Log-Structured Merge Tree in Go
Badger: Fast key-value DB in Go (GitHub)
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Is there a nice embedded json db, like PoloDB (Rust) for Golang
I use Badger a lot, it doesn’t do much but it’s fast
- Best packages?
- What's the big deal about key-value databases like FoundationDB ands RocksDB?
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badger VS ZoneTree - a user suggested alternative
2 projects | 22 Aug 2022
What are some alternatives?
diskv - A disk-backed key-value store.
goleveldb - LevelDB key/value database in Go.
buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
missinggo - Stuff that's missing in Go stdlib, or hasn't made it into its own repo.
bolt
bbolt - An embedded key/value database for Go.
nutsdb - 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.
go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
BigCache - Efficient cache for gigabytes of data written in Go.
go-memdb - Golang in-memory database built on immutable radix trees
Bitcask - 🔑 A high performance Key/Value store written in Go with a predictable read/write performance and high throughput. Uses a Bitcask on-disk layout (LSM+WAL) similar to Riak.