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Ehcache vs guava: What are the differences?
Introduction
This article discusses the key differences between Ehcache and Guava, two popular caching libraries used in software development.
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In-Memory Caching vs Caching Utilities:
- Ehcache is primarily an in-memory caching library that allows developers to store and retrieve data in memory for fast access. On the other hand, Guava is a general-purpose caching utility library that provides caching functionality along with other utility classes.
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Cache Eviction Policies:
- Ehcache offers a wide range of cache eviction policies such as LRU (Least Recently Used), LFU (Least Frequently Used), and FIFO (First In, First Out). These policies determine which cache entries to remove when the cache reaches its maximum capacity. In contrast, Guava's caching utilities use a simpler eviction policy based on the size of the cache and a combination of time-based and reference-based cache eviction.
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Distributed Caching Support:
- Ehcache provides built-in support for distributed caching, allowing multiple instances of an application to share a common cache. On the other hand, Guava does not offer native support for distributed caching and is primarily designed for single-instance caching scenarios.
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Cache Loading Strategies:
- Ehcache supports various cache loading strategies such as manual loading, lazy loading, and asynchronous loading. These strategies dictate when and how cache entries are loaded into the cache. In contrast, Guava does not provide built-in support for cache loading strategies and requires developers to manually load cache entries.
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Integration with Java EE Standards:
- Ehcache is integrated with Java EE standards and can be easily used in Java EE applications. It supports features such as caching annotations, declarative configuration, and integration with Java EE frameworks. On the other hand, Guava is a standalone library and does not have direct integration with Java EE standards.
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Cache Statistics and Monitoring:
- Ehcache provides extensive cache statistics and monitoring features, allowing developers to gain insights into the cache's performance, hit/miss ratio, and memory usage. Guava, on the other hand, provides limited cache statistics functionality and lacks detailed monitoring features.
In summary, Ehcache is primarily an in-memory caching library with distributed caching support, various cache eviction policies, cache loading strategies, and integration with Java EE standards. Guava, on the other hand, is a general-purpose caching utility library with a simpler cache eviction policy, no native distributed caching support, no built-in cache loading strategies, and limited cache statistics and monitoring features.
Hi guys! I need an in-memory key/value storage with a lifespan for each key What do you recommend me to use? I was thinking about using a ConcurrentHashMap, with a scheduled thread evicting keys when apply. In fact, it is a possibility due because the performance is not important. But, on the other side, I have considered using any library such as Memcached, Ehcache, guava...
Redis can do the same jobs as Memcached, ECache or any other im-memory caching tool and can do them better. - Redis can act as a cache as well. It can store key/value pairs too. In Redis, they can even be up to 512MB. - Redis is better documented than Memcached and ECached. - Supports many data types. (Strings, Hashes, Lists, Sets, Sorted Sets, Geo, Bitmap and HyperLogLog) - Redis provides pub/sub as well. - Redis can be scaled easily horizontally if needed using its own tool Redis Sentinel. - Wide variety of client libraries in almost every language.
Pros of Ehcache
- Way Faster than Redis and Elasticache Redis1
- Easy setup1
- Simpler to run in testing environment1
- Container doesn't have to be running for local tests1
Pros of guava
- Interface Driven API5
- Easy to setup1