clusteredBigCache
go-memdb
| clusteredBigCache | go-memdb | |
|---|---|---|
| - | 3 | |
| 44 | 3,071 | |
| - | 0.8% | |
| 0.0 | 3.6 | |
| over 6 years ago | 2 months ago | |
| Go | Go | |
| MIT License | Mozilla Public License 2.0 |
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clusteredBigCache
We haven't tracked posts mentioning clusteredBigCache yet.
Tracking mentions began in Dec 2020.
go-memdb
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I created an in-memory SQL database called MemSQL as a learning project
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.
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Why use a real K/V database over a MapStore?
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.
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An Unlikely Database Migration
>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.
What are some alternatives?
influxdb - Scalable datastore for metrics, events, and real-time analytics [Moved to: https://github.com/influxdata/influxdb]
dbbench - 🏋️ dbbench is a simple database benchmarking tool which supports several databases and own scripts
prometheus - The Prometheus monitoring system and time series database.
badger - Fast key-value DB in Go.
cache2go - Concurrency-safe Go caching library with expiration capabilities and access counters
buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
bolt
go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
pREST - PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new