what is the best persistent collection library?

This page summarizes the projects mentioned and recommended in the original post on /r/java

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  • kotlinx.collections.immutable

    Immutable persistent collections for Kotlin

    kotlinx.collections.immutable it's a kotlin-focused collections library, but it can absolutely work with Java, especially because it extends the standard collection interfaces, so you can simply get an iterator from it

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • java-immutable-collections

    Efficient Immutable/Persistent Collections for Java

    I'm not sure which one is best, but I always wanted to give https://github.com/brianburton/java-immutable-collections and/or https://github.com/lacuna/bifurcan (which, strictly speaking, does not satisfy your requirements, read the description).

  • bifurcan

    functional, durable data structures

    I'm not sure which one is best, but I always wanted to give https://github.com/brianburton/java-immutable-collections and/or https://github.com/lacuna/bifurcan (which, strictly speaking, does not satisfy your requirements, read the description).

  • 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.

    Anyway, without further ado, I found MapDB (https://github.com/jankotek/mapdb) which does exactly that. Of course, they also provide their own Java collection implementations as well, so I suspect using it with Vavr would be a poor idea, but it is very cool in its own right anyway. Of course, there is also Apache Derby and HSQLDB, and those great options with a long history as well. I haven't played with these in a while though, so I might give them a try again soon for some personal stuff.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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