HBase vs OrientDB: 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; OrientDB: An open source NoSQL database management system. It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
HBase and OrientDB belong to "Databases" category of the tech stack.
HBase is an open source tool with 3K GitHub stars and 2.05K GitHub forks. Here's a link to HBase's open source repository on GitHub.
Pinterest, HubSpot, and hike are some of the popular companies that use HBase, whereas OrientDB is used by Acadar, Bright Power, and GittiGidiyor. HBase has a broader approval, being mentioned in 69 company stacks & 109 developers stacks; compared to OrientDB, which is listed in 10 company stacks and 5 developer stacks.
What is HBase?
What is OrientDB?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to add, upvote and see more prosMake informed product decisions
What are the cons of using HBase?
What are the cons of using OrientDB?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with OrientDB?
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.
Multi-model DB: document (JSON), graph, key-value, text, geospatial, binary, reactive, SQL
TO BE EVALUATED