HBase vs OpenTSDB: 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, OpenTSDB is detailed as "A scalable time series database". It is a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity.
HBase and OpenTSDB can be categorized as "Databases" tools.
HBase and OpenTSDB are both open source tools. OpenTSDB with 3.81K GitHub stars and 1.11K forks on GitHub appears to be more popular than HBase with 3K GitHub stars and 2.05K GitHub forks.
According to the StackShare community, HBase has a broader approval, being mentioned in 69 company stacks & 109 developers stacks; compared to OpenTSDB, which is listed in 4 company stacks and 6 developer stacks.
What is HBase?
What is OpenTSDB?
Need advice about which tool to choose?Ask the StackShare community!
Why do developers choose OpenTSDB?
What are the cons of using HBase?
What are the cons of using OpenTSDB?
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.