HBase vs IronDB: 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 IronDB? A resilient key-value store for the browser. IronDB is the best way to store persistent key-value data in the browser. Data saved to IronDB is redundantly stored in Cookies, IndexedDB, LocalStorage, and SessionStorage, and relentlessly self heals if any data therein is deleted or corrupted.
HBase and IronDB belong to "Databases" category of the tech stack.
HBase and IronDB are both open source tools. HBase with 2.91K GitHub stars and 2.01K forks on GitHub appears to be more popular than IronDB with 5 GitHub stars and 1 GitHub forks.
What is HBase?
What is IronDB?
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Why do developers choose IronDB?
What are the cons of using HBase?
What are the cons of using IronDB?
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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.