lasher VS java-concurrent-hash-trie-map

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


Lasher is an embeddable key-value store written in Java. (by soundvibe)


Java port of a concurrent trie hash map implementation from the Scala collections library (by romix)
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lasher java-concurrent-hash-trie-map
1 1
4 147
- -
0.0 0.0
7 months ago over 2 years ago
Java Java
Apache License 2.0 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.
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Posts with mentions or reviews of lasher. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-21.
  • Solution for hash-map with >100M values
    7 projects | | 21 Dec 2020
    Do you need to update the data after initial load? If not, then I would suggest using my Paldb fork , otherwise you could try my lasher library. It's in early stage but first results are very promising, I was testing it with 10-100M elements and the performance was similar to java hashmap.


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.

What are some alternatives?

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

SmoothieMap - A gulp of low latency Java

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

Oak - A Scalable Concurrent Key-Value Map for Big Data Analytics

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.

PalDB - An embeddable key-value store written in Java

time-series-concurrency-example - Time Series Data and CompletableFuture example in Java