HBase vs RavenDB: What are the differences?
What is 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.
What is RavenDB? *A NoSQL Database that's fully transactional *. As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.
HBase and RavenDB belong to "Databases" category of the tech stack.
HBase and RavenDB are both open source tools. It seems that HBase with 3K GitHub stars and 2.05K forks on GitHub has more adoption than RavenDB with 2.28K GitHub stars and 723 GitHub forks.
According to the StackShare community, HBase has a broader approval, being mentioned in 69 company stacks & 109 developers stacks; compared to RavenDB, which is listed in 7 company stacks and 4 developer stacks.
What is HBase?
What is RavenDB?
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Why do developers choose RavenDB?
What are the cons of using HBase?
What are the cons of using RavenDB?
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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.