HBase vs LinDB: What are the differences?
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; LinDB: *An open source Time Series Database *. It is a scalable, distributed, high performance, high availability Time Series Database. It takes a lot of best practice of TSDB and implements some optimizations based on the characteristics of time series data. It supports rollup in specific interval automatically after creating the database.
HBase and LinDB can be primarily classified as "Databases" tools.
HBase and LinDB are both open source tools. It seems that HBase with 3K GitHub stars and 2.05K forks on GitHub has more adoption than LinDB with 744 GitHub stars and 80 GitHub forks.
What is HBase?
What is LinDB?
Need advice about which tool to choose?Ask the StackShare community!
Why do developers choose LinDB?
What are the cons of using HBase?
What are the cons of using LinDB?
What companies use LinDB?
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
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.