Ehcache
Hazelcast
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Ehcache | Hazelcast | |
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3 | 7 | |
1,963 | 5,861 | |
1.1% | 1.5% | |
5.2 | 9.9 | |
10 days ago | 8 days ago | |
Java | Java | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
Ehcache
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GC, hands off my data!
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:
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Counting faster with Postgres
If the application is a simple two-tier app with only UI and some form of backend, then we can use a caching layer such as EH Cache or Cache tools to maintain the count of rows as and when we insert it. These caches can be backed by persistence so that the data is not lost. Caches are lightweight and pretty fast. Alternatively, one can store the count in the database itself. The key feature of this approach is that the trigger to update the count is the application's responsibility.
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Resume Advice Thread - June 19, 2021
"EHCache" is formally "Ehcache".
Hazelcast
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Does anyone know any good java implementations for distributed key-value store?
You're probably looking for Hazelcast here. Note that it does much more than just a distributed k/v, but it will get you where you need to go.
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Working on an unfamiliar codebase
-- Distributed Map: Add support for getQuiet operation
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Real-time stream processing with Hazelcast and Pulsar
Join the Hazelcast Slack andHazelcast Github repository.
- Hazelcast - Open-source real-time distributed computation and storage platform
- Hazelcast: Open-source real-time distributed computation and storage platform
- Show HN: Hazelcast 5 BETA – streaming+storage in one
- My Awesome Collections of 200+ github repo
What are some alternatives?
Caffeine - A high performance caching library for Java
Redisson - Redisson - Easy Redis Java client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache ...
Apache ZooKeeper - Apache ZooKeeper
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
Apache Geode - Apache Geode
JGroups - The JGroups project
Hystrix - Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.
Infinispan - Infinispan is an open source data grid platform and highly scalable NoSQL cloud data store.