Javolution VS Disruptor

Compare Javolution vs Disruptor and see what are their differences.

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Javolution Disruptor
- 36
- 18,273
- 0.0%
- 5.9
- about 1 year ago
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.

Javolution

Posts with mentions or reviews of Javolution. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Javolution yet.
Tracking mentions began in Dec 2020.

Disruptor

Posts with mentions or reviews of Disruptor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-12-28.
  • Using LMAX Disruptor to build a high-performance in-memory event broker in Java.
    2 projects | dev.to | 28 Dec 2025
    As a Python developer, I'd typically reach for libraries like PyPubSub or Blinker for event handling, which work well for I/O-bound applications but struggle with CPU-intensive event processing due to the GIL for Python versions before 3.14. Go's channel-based concurrency model handles events elegantly with goroutines, and libraries like EventBus provide pub-sub patterns that feel natural in Go's ecosystem. However, neither ecosystem has a direct equivalent to Disruptor's mechanical sympathy approach. Python's interpreter overhead and Go's garbage collector (though better than Python's) both introduce latency that becomes visible at millions of events per second. If you're building a system where a few microseconds per event multiplied by millions of events actually matters (financial systems, real-time analytics, game servers), Java's mature JIT compilation, fine-tuned GC options, and libraries like Disruptor that exploit CPU cache behavior offer performance that's hard to match.
  • Clojure Async Flow Guide
    8 projects | news.ycombinator.com | 17 Aug 2025
    I still use it. They finally fixed my biggest complaint about it a year ago, which is that you couldn't use vanilla Clojure lambdas for the Java functional interface, and so you'd have to reify that interface and it was bulky and ugly. Now it works fine so long as the interfaces actually have the @FunctionalInterface attribute.

    Not every project uses @FunctionalInterface, but I've been trying to add it to places [1] [2] [3], and now I'm able to use Clojure in a lot more places.

    [1] https://github.com/LMAX-Exchange/disruptor/pull/492

    [2] https://github.com/apache/kafka/pull/19234

    [3] https://github.com/apache/kafka/pull/19366

  • The LMAX Architecture (2011)
    4 projects | news.ycombinator.com | 16 Aug 2024
    LMAX have an open source version of the disruptor in GitHub https://github.com/LMAX-Exchange/disruptor
  • Disruptor-rs: better latency and throughput than crossbeam
    10 projects | news.ycombinator.com | 13 Jul 2024
    I played around with the original (Java) LMAX disruptor which was an interesting and different way to achieve latency/throughput. Here's some info on it[0] and a referenced Martin Fowler post[1].

    [0] https://github.com/LMAX-Exchange/disruptor/wiki/Blogs-And-Ar...

    [1] https://martinfowler.com/articles/lmax.html

  • LMAX Disruptor – low latency inter-thread messaging for Java
    1 project | news.ycombinator.com | 9 Jul 2024
  • Lightning Fast Multicast Ring Buffer
    2 projects | news.ycombinator.com | 19 May 2024
    Nice. The per element atomic locks rather than per collection is a neat optimization I wouldn't have thought of! After a decade+ of LMax Disruptor being a well publicized multicast circular queue. https://lmax-exchange.github.io/disruptor/
  • Gnet is the fastest networking framework in Go
    2 projects | news.ycombinator.com | 14 Mar 2024
    https://lmax-exchange.github.io/disruptor/#_what_is_the_disr.... Unfortunately IIUC writing this in Go still prevents the spin-locked acceptor thread from achieving the kind of performance you could get in a non-GC language, unless you chose to disable GC, so I'd guess Envoy is still faster.

    https://gnet.host/docs/quickstart/ it's nice that you can use this simply though. Envoy is kind of tricky to setup with custom filters, so most of the time it's just a standalone binary.

    [0] https://blog.envoyproxy.io/envoy-threading-model-a8d44b92231...

    [1] https://lmax-exchange.github.io/disruptor/#_what_is_the_disr...

  • A lock-free ring-buffer with contiguous reservations (2019)
    9 projects | news.ycombinator.com | 29 Feb 2024
    See also the Java LMAX Disruptor https://github.com/LMAX-Exchange/disruptor

    I've built a similar lock-free ring buffer in C++11 https://github.com/posterior/loom/blob/master/doc/adapting.m...

  • JEP Draft: Deprecate Memory-Access Methods in Sun.misc.Unsafe for Removal
    3 projects | news.ycombinator.com | 16 Jan 2024
    "Why we chose Java for our High-Frequency Trading application"

    https://medium.com/@jadsarmo/why-we-chose-java-for-our-high-...

    LMAX Disruptor customers

    https://lmax-exchange.github.io/disruptor/

    Among many other examples.

  • LMAX Disruptor – High Performance Inter-Thread Messaging Library
    1 project | /r/hackernews | 20 Nov 2023

What are some alternatives?

When comparing Javolution and Disruptor you can also consider the following projects:

fastutil - fastutil extends the Java™ Collections Framework by providing type-specific maps, sets, lists and queues.

Agrona - High Performance data structures and utility methods for Java

Trove

JCTools

Primitive-Collections - A Primitive Collection library that reduces memory usage and improves performance and provides a lot of QoL

Eclipse Collections - Eclipse Collections is a collections framework for Java with optimized data structures and a rich, functional and fluent API.

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