fastcache VS CLHT

Compare fastcache vs CLHT and see what are their differences.

fastcache

Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead (by VictoriaMetrics)
Database Golang Go Cache inmemory-cache Fast Caching caching-library
Source Code
Suggest alternative
Edit details

CLHT

CLHT is a very fast and scalable (lock-based and lock-free) concurrent hash table with cache-line sized buckets. (by LPD-EPFL)
Suggest topics
Source Code
lpd.epfl.ch
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
fastcache CLHT
3 1
1,988 137
1.2% 0.0%
3.4 1.8
5 months ago over 2 years ago
Go C
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

fastcache

Posts with mentions or reviews of fastcache. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-01.

CLHT

Posts with mentions or reviews of CLHT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-11.
  • Implementing robust in-memory cache with Go
    5 projects | dev.to | 11 May 2022
    For mostly-read workloads standard sync.Map offers great performance, however, it degrades with more writes. There is a another custom implementation that outperforms sync.Map thanks to Cache-Line Hash Table (CLHT) data structure: github.com/puzpuzpuz/xsync.Map.

What are some alternatives?

When comparing fastcache and CLHT you can also consider the following projects:

BigCache - Efficient cache for gigabytes of data written in Go.

cache-story - Demo repository for a blog post.

go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.

plt - ⏱️ Pocket load tester

groupcache - groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases.

cache - High performance resilient in-memory cache for Go

buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support

dgraph - The high-performance database for modern applications

bolt

tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial

vitess - Vitess is a database clustering system for horizontal scaling of MySQL.

moss - moss - a simple, fast, ordered, persistable, key-val storage library for golang

fastcache vs BigCache CLHT vs cache-story fastcache vs go-cache CLHT vs plt fastcache vs groupcache CLHT vs cache fastcache vs buntdb fastcache vs dgraph fastcache vs bolt fastcache vs tidb fastcache vs vitess fastcache vs moss