HBase vs TiDB: What are the differences?
Developers describe HBase 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. On the other hand, TiDB is detailed as "A distributed NewSQL database compatible with MySQL protocol". Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.
HBase and TiDB belong to "Databases" category of the tech stack.
HBase and TiDB are both open source tools. It seems that TiDB with 19.2K GitHub stars and 2.79K forks on GitHub has more adoption than HBase with 2.87K GitHub stars and 1.98K GitHub forks.
What is HBase?
What is TiDB?
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What are the cons of using HBase?
What are the cons of using TiDB?
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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.