Need advice about which tool to choose?Ask the StackShare community!
Ehcache vs Redis: What are the differences?
Ehcache and Redis are both popular caching technologies used in web applications. Here are some key differences between them:
Storage: Ehcache is an in-memory cache, meaning that the data is stored in the application's memory. On the other hand, Redis is an in-memory data store that can also persist data on disk. This makes Redis more suitable for scenarios where data durability is essential or when a larger dataset needs to be cached.
Data Structures: Redis offers a wide range of data structures like strings, hashes, lists, sets, and more, allowing for complex data storage and retrieval. Ehcache, on the other hand, is primarily focused on simple key-value pairs, making it simpler and more lightweight for straightforward caching needs.
Scalability: Redis is known for its horizontal scalability, allowing you to distribute data across multiple Redis instances using sharding or clustering. This makes it a better choice for applications that require high scalability and distributed caching. Ehcache, on the other hand, is typically used as an embedded cache within a single application instance and may not scale as easily.
Replication and High Availability: Redis provides built-in replication and high availability mechanisms, allowing for data redundancy in case of node failures. Ehcache, on the other hand, relies on the application's infrastructure for replication and high availability. While it is possible to achieve replication with Ehcache, it requires extra effort and custom implementation.
Integration: Redis is a standalone cache that can be used with various programming languages and frameworks through its client libraries. Ehcache, on the other hand, is often tightly integrated with Java-based frameworks and technologies like Hibernate, Spring, and Java EE. This makes it a more seamless choice for Java applications.
Features: Redis provides additional features like pub/sub messaging, geospatial indexing, and Lua scripting, making it versatile for various use cases beyond simple caching. Ehcache, on the other hand, focuses primarily on caching and may not offer these advanced features out of the box.
In summary, Ehcache is a lightweight in-memory cache primarily focused on simple key-value pairs, while Redis is a more powerful and versatile in-memory data store with additional features, scalability, and data persistence options. The choice between the two depends on the specific requirements and complexity of the caching needs.
Hello, I am working on designing the API application for Mobile. We are going to use SpringBoot + Zuul Proxy for API Access Layer and API Services again Spring Boot with REST services exposed. Can you please help me to understand the implementation of REST Caching with ETag or Http Headers cache and how it is different from EhCache for Database side. So if you need to handle caching from REST and Database side, please advise me to get some idea of strategy in implementing it. Thank you so much in advance.
Also for the Java app, which is easy to implement whether Redis or Ehcache, I am new to Redis.
Regards, Dada
Redis and Ehcache are server-side caches. Ehcache is used to cache data within a Java application. Redis runs in it's own environment so it survives OOM JVM crashes. You can use Redis with a multitude of languages.
https://db-engines.com/en/system/Ehcache%3BRedis
ETAGS and HTTP Headers are mainly used by the client side user agent to cache resources locally.
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 Redis
- Performance886
- Super fast542
- Ease of use513
- In-memory cache444
- Advanced key-value cache324
- Open source194
- Easy to deploy182
- Stable164
- Free155
- Fast121
- High-Performance42
- High Availability40
- Data Structures35
- Very Scalable32
- Replication24
- Great community22
- Pub/Sub22
- "NoSQL" key-value data store19
- Hashes16
- Sets13
- Sorted Sets11
- NoSQL10
- Lists10
- Async replication9
- BSD licensed9
- Bitmaps8
- Integrates super easy with Sidekiq for Rails background8
- Keys with a limited time-to-live7
- Open Source7
- Lua scripting6
- Strings6
- Awesomeness for Free5
- Hyperloglogs5
- Transactions4
- Outstanding performance4
- Runs server side LUA4
- LRU eviction of keys4
- Feature Rich4
- Written in ANSI C4
- Networked4
- Data structure server3
- Performance & ease of use3
- Dont save data if no subscribers are found2
- Automatic failover2
- Easy to use2
- Temporarily kept on disk2
- Scalable2
- Existing Laravel Integration2
- Channels concept2
- Object [key/value] size each 500 MB2
- Simple2
Sign up to add or upvote prosMake informed product decisions
Cons of Ehcache
Cons of Redis
- Cannot query objects directly15
- No secondary indexes for non-numeric data types3
- No WAL1