Crux (open source) vs HBase: What are the differences?
Developers describe Crux (open source) as "Open Time Store". An open source document database with bitemporal graph queries. Follows an unbundled architectural approach, which means that it is assembled from highly decoupled components through the use of semi-immutable logs at the core of its design. On the other hand, HBase is detailed as "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.
Crux (open source) and HBase can be primarily classified as "Databases" tools.
Crux (open source) and HBase are both open source tools. HBase with 2.91K GitHub stars and 2.01K forks on GitHub appears to be more popular than Crux (open source) with 448 GitHub stars and 21 GitHub forks.
What is Crux (open source)?
What is HBase?
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What are the cons of using Crux (open source)?
What are the cons of using HBase?
What companies use Crux (open source)?
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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.