Caffeine Alternatives

Caffeine reviews and mentions

• Microbenchmarks: HashMap, ConcurrentHashMap, and Guava Caches
  1 project | news.ycombinator.com | 5 Mar 2025

  https://github.com/ben-manes/caffeine/wiki/Benchmarks

  5. Data structures are surprisingly tricky. For example see this analysis showing an accidental misunderstanding degrading an LRU to O(n) eviction.

• How to Use Caffeine with Kotlin Coroutines - Introduction to caffeine-coroutines
  3 projects | dev.to | 7 Feb 2025

  JVM has a widely used library for implementing caching called Caffeine.

• Analyzing the codebase of Caffeine: a high performance caching library
  10 projects | news.ycombinator.com | 2 Feb 2025

  That's kind of the idea of Caffeine, it has admission buffers, and it adapts automatically between LRU and LFU. The original algorithm is called Windiw TinyLFU (design https://github.com/ben-manes/caffeine/wiki/Design), see it in action e.g. here: https://github.com/ben-manes/caffeine/wiki/Efficiency

• Hybrid Cache Strategy in Spring Boot: A Guide to Redisson and Caffeine Integration
  2 projects | dev.to | 25 Jan 2025

  Local caches, like Caffeine, provide extremely fast data retrieval because they operate in memory and are close to the application. These are ideal for reducing response times for frequently accessed data. On the other hand, distributed caches, such as those powered by Redisson with Redis, offer scalability and consistency across multiple instances of an application. Distributed caches ensure all nodes in a distributed system access the same up-to-date data, which is crucial in multi-node environments.

• Show HN: Pocache, preemptive optimistic caching for Go
  6 projects | news.ycombinator.com | 11 Oct 2024

  One optimization for background refresh is coalescing the individual reloads into a batch operation based on a time/space window. Here is how we do it in the Java world. [1]

  [1] https://github.com/ben-manes/caffeine/tree/master/examples/c...

• Working Set Size Estimation (2018)
  1 project | news.ycombinator.com | 9 Oct 2024

  If anyone is interested in space & time efficient caching and working set tracking check out some of my favorites, gil einziger https://scholar.google.co.il/citations?user=kWivlnsAAAAJ and the ex coho data guys https://www.usenix.net/system/files/conference/osdi14/osdi14....

  Ben Manes[1] worked with Gil Einziger on an implementation of TinyLFU and actually contributed to an updated version of the TinyLFU paper, IIRC. Gil has a ton of very relevant work[2][3] around cache admission, control, and information density.

  Coho data was working very large storage arrays, specifically optimizing data placement across different media/hosts/etc. lots of similar problems where even the metadata of the working set was prohibitively large. So they had space & time efficient functions to track access patterns in realtime. Their business didnt work out (unfortunately) and most of them ended up at AWS, working on storage like S3 and Glacier.

  [1] https://github.com/ben-manes/caffeine/wiki/Efficiency#window...

• Otter, Fastest Go in-memory cache based on S3-FIFO algorithm
  16 projects | news.ycombinator.com | 23 Dec 2023

  /u/someplaceguy,

  Those LIRS traces, along with many others, available at this page [1]. I did a cursory review using their traces using Caffeine's and the author's simulators to avoid bias or a mistaken implementation. In their target workloads Caffeine was on par or better [2]. I have not seen anything novel in this or their previous works and find their claims to be easily disproven, so I have not implement this policy in Caffeine simulator yet.

  [1]: https://github.com/ben-manes/caffeine/wiki/Simulator

  [2]: https://github.com/1a1a11a/libCacheSim/discussions/20

• Google/guava: Google core libraries for Java
  3 projects | news.ycombinator.com | 8 Nov 2023

  That, and also when caffeine came out it replaced one of the major uses (caching) of guava.

  https://github.com/ben-manes/caffeine

• GC, hands off my data!
  6 projects | dev.to | 27 Oct 2023

  I decided to start with an overview of what open-source options are currently available. When it comes to the implementation of the on-heap cache mechanism, the options are numerous – there is well known: guava, ehcache, caffeine and many other solutions. However, when I began researching cache mechanisms offering the possibility of storing data outside GC control, I found out that there are very few solutions left. Out of the popular ones, only Terracotta is supported. It seems that this is a very niche solution and we do not have many options to choose from. In terms of less-known projects, I came across Chronicle-Map, MapDB and OHC. I chose the last one because it was created as part of the Cassandra project, which I had some experience with and was curious about how this component worked:

• Spring Cache with Caffeine
  2 projects | dev.to | 22 Oct 2023

  Visit the official Caffeine git project and documentation here for more information if you are interested in the subject.

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