Hazelcast vs HBase: What are the differences?
Hazelcast: 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; HBase: The Hadoop database, a distributed, scalable, big data store. Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
Hazelcast belongs to "In-Memory Databases" category of the tech stack, while HBase can be primarily classified under "Databases".
"High Availibility" is the top reason why over 4 developers like Hazelcast, while over 7 developers mention "Performance" as the leading cause for choosing HBase.
Hazelcast and HBase are both open source tools. Hazelcast with 3.18K GitHub stars and 1.16K forks on GitHub appears to be more popular than HBase with 2.91K GitHub stars and 2.01K GitHub forks.
According to the StackShare community, HBase has a broader approval, being mentioned in 54 company stacks & 18 developers stacks; compared to Hazelcast, which is listed in 26 company stacks and 16 developer stacks.
What is Hazelcast?
What is HBase?
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What are the cons of using Hazelcast?
What are the cons of using HBase?
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The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.
HazelCast is the foundation for the distributed system that hosts our APIs and intelligent workflows. We wrap the core HazelCast functions in Clojure protocols to implement micro-services on top of a coherent, single-process instance per virtual node.