goleveldb VS bbolt

Looks like a job for GoLevelDB.

goleveldb - Implementation of the LevelDB key/value database in Go.

I wanted to get deeper insights into both indexeddb and leveldb, so decided to write an indexeddb wrapper around goleveldb.

https://github.com/syndtr/goleveldb for heavy-duty local data storage.

We're using go-leveldb for a reasonably high-load case here at my $dayjob.

I would used some embedded kv store like go-leveldb or bolt. Key is BigEnding timestamp + optional tail to allow duplicate timestamps.

I'm using the leveldb https://github.com/syndtr/goleveldb for the moment because I'm developing the architecture. Mh, leveldb support the only the inmem db? :/

Based on this [GitHub document](https://github.com/etcd-io/bbolt) for BBoltDB, we can understand that Go Code be used to create a BBoltDB database on the system. The key-values added & operations done on them in that Go Code are stored in the BBoltDB database.

A Locker is a store on your file system (built on top of the amazing bbolt).

- bbolt for storage on disk. In order to get the smallest db file size possible make sure you insert the keys in order and set:

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.

bbolt - An embedded key/value database for Go.

For learning goroutines and channels, I usually recommend writing a program that reads from files and writes the data in a dummy database with something like https://github.com/etcd-io/bbolt. It's relatively simple and you're more likely to run into common manifestations of concurrency issues running disk operations.

If you would like to explore usage of channels, I highly recommend writing a program that reads from files and writes the data in a dummy database with something like https://github.com/etcd-io/bbolt.

No transactions, no consistency guarantees, no benchmarks, global locks in the storage implementation, a collection is copied in its entirety on every insertion to it...I realize it's not for the same use case as MySQL or MongoDB, but a more obvious comparison here is e.g. https://github.com/etcd-io/bbolt. So why should someone use this over bbolt?