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EdgeDB vs HBase: What are the differences?
Developers describe EdgeDB as "The Next Generation Object-Relational Database". An object-relational database that stores and describes the data as strongly typed objects and relationships between them. On the other hand, HBase is detailed 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.
EdgeDB and HBase can be categorized as "Databases" tools.
EdgeDB and HBase are both open source tools. EdgeDB with 3.01K GitHub stars and 64 forks on GitHub appears to be more popular than HBase with 2.91K GitHub stars and 2.01K GitHub forks.
Pros of EdgeDB
Pros of HBase
- Performance9
- OLTP5
- Fast Point Queries1
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What is EdgeDB?
What is HBase?
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What companies use EdgeDB?
What companies use HBase?
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What tools integrate with HBase?
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