Oak VS SmoothieMap

Compare Oak vs SmoothieMap and see what are their differences.

Oak

A Scalable Concurrent Key-Value Map for Big Data Analytics (by yahoo)

SmoothieMap

A gulp of low latency Java (by TimeAndSpaceIO)
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Oak SmoothieMap
2 1
267 289
0.4% 0.0%
0.0 0.0
2 months ago about 4 years ago
Java Java
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.

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.

SmoothieMap

Posts with mentions or reviews of SmoothieMap. 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 Oak and SmoothieMap you can also consider the following projects:

java-concurrent-hash-trie-map - Java port of a concurrent trie hash map implementation from the Scala collections library

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.

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

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

ohc - Java large off heap cache

FST - FST: fast java serialization drop in-replacement