java-concurrent-hash-trie-map VS Oak

Compare java-concurrent-hash-trie-map vs Oak and see what are their differences.

java-concurrent-hash-trie-map

Java port of a concurrent trie hash map implementation from the Scala collections library (by romix)

Oak

A Scalable Concurrent Key-Value Map for Big Data Analytics (by yahoo)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
java-concurrent-hash-trie-map Oak
1 2
150 267
- 0.4%
0.0 0.0
over 3 years ago 2 months ago
Java Java
GNU General Public License v3.0 or later Apache License 2.0
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.

java-concurrent-hash-trie-map

Posts with mentions or reviews of java-concurrent-hash-trie-map. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-21.

Oak

Posts with mentions or reviews of Oak. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-11.

What are some alternatives?

When comparing java-concurrent-hash-trie-map and Oak you can also consider the following projects:

SmoothieMap - A gulp of low latency Java

MapDB - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.

Chronicle Map - Replicate your Key Value Store across your network, with consistency, persistance and performance.

lasher - Lasher is an embeddable key-value store written in Java.

ohc - Java large off heap cache

FST - FST: fast java serialization drop in-replacement