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)
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java-concurrent-hash-trie-map | Oak | |
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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.
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.
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JEP draft: 64 bit object headers
Another to add to your collection, https://github.com/yahoo/Oak
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Solution for hash-map with >100M values
Consider using an database (e.g. H2 embedded, redis) with an on-heap cache (e.g. Caffeine). Since you say it is a Zipfian distribution, the cache should absorb most of the requests. For an off-heap hashtable, you might try Oak as it is likely a faster implementation.
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