H2 Database vs HBase: What are the differences?
H2 Database: A relational database management system written in Java. It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode; 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.
H2 Database and HBase can be primarily classified as "Databases" tools.
HBase is an open source tool with 3K GitHub stars and 2.05K GitHub forks. Here's a link to HBase's open source repository on GitHub.
According to the StackShare community, HBase has a broader approval, being mentioned in 69 company stacks & 109 developers stacks; compared to H2 Database, which is listed in 9 company stacks and 19 developer stacks.
What is H2 Database?
What is HBase?
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Why do developers choose H2 Database?
What are the cons of using H2 Database?
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.