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Hazelcast vs MapDB: What are the differences?
Developers describe Hazelcast as "Clustering and highly scalable data distribution platform for Java". With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution. On the other hand, MapDB is detailed as "Concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory". MapDB provides Java Maps, Sets, Lists, Queues and other collections backed by off-heap or on-disk storage. It is a hybrid between java collection framework and embedded database engine. It is free and open-source under Apache license.
Hazelcast and MapDB can be categorized as "In-Memory Databases" tools.
Some of the features offered by Hazelcast are:
- Distributed implementations of java.util.{Queue, Set, List, Map}
- Distributed implementation of java.util.concurrent.locks.Lock
- Distributed implementation of java.util.concurrent.ExecutorService
On the other hand, MapDB provides the following key features:
- Concurrency
- Writing database
- Code duplication and not invented here
Hazelcast is an open source tool with 3.27K GitHub stars and 1.18K GitHub forks. Here's a link to Hazelcast's open source repository on GitHub.
Pros of Hazelcast
- High Availibility11
- Distributed Locking6
- Distributed compute6
- Sharding5
- Load balancing4
- Map-reduce functionality3
- Simple-to-use3
- Written in java. runs on jvm3
- Publish-subscribe3
- Sql query support in cluster wide3
- Optimis locking for map2
- Performance2
- Multiple client language support2
- Rest interface2
- Admin Interface (Management Center)1
- Better Documentation1
- Easy to use1
- Super Fast1
Pros of MapDB
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Cons of Hazelcast
- License needed for SSL4
