CLHT
CLHT is a very fast and scalable (lock-based and lock-free) concurrent hash table with cache-line sized buckets. (by LPD-EPFL)
plt
⏱️ Pocket load tester (by vearutop)
CLHT | plt | |
---|---|---|
1 | 1 | |
137 | 45 | |
0.0% | - | |
1.8 | 3.4 | |
over 2 years ago | 3 months ago | |
C | Go | |
GNU General Public License v3.0 or later | MIT License |
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.
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.
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
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.
plt
Posts with mentions or reviews of plt.
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
We're going to put some load on the application with a custom plt.
What are some alternatives?
When comparing CLHT and plt you can also consider the following projects:
fastcache - Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead
cache-story - Demo repository for a blog post.
cache - High performance resilient in-memory cache for Go