HBase vs MySQL Performance Analyzer: 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, MySQL Performance Analyzer is detailed as "MySQL Performance Analyzer by Yahoo". MySQL Performance Analyzer is an open source project for MySQL performance monitoring and analysis.
HBase and MySQL Performance Analyzer are primarily classified as "Databases" and "Database" tools respectively.
HBase and MySQL Performance Analyzer are both open source tools. HBase with 2.87K GitHub stars and 1.98K forks on GitHub appears to be more popular than MySQL Performance Analyzer with 1.36K GitHub stars and 194 GitHub forks.
What is HBase?
What is MySQL Performance Analyzer?
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Why do developers choose MySQL Performance Analyzer?
What are the cons of using HBase?
What are the cons of using MySQL Performance Analyzer?
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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.