Application Scenarios

Updated on 2022-09-14 GMT+08:00

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Hadoop database (HBase) is a reliable, high-performance, column-oriented and scalable distributed storage system. Different from traditional relational databases, HBase is suitable for massive data process.

The HBase is applicable to the following scenarios:

Massive data processing (higher than the TB or PB level).
High-throughput demanding scenarios
Scenarios that require efficient random read of massive data.
Good-scalability demanding scenarios
Concurrent processing of structured and unstructured data.
Scenarios that do not require the Atomicity, Consistency, Isolation, Durability (ACID) feature provided by traditional relational databases.

HBase tables have the following features:

Large: Each table contains a hundred million rows and one million columns.
Column-oriented: Storage and rights control is implemented based on columns (families), and columns (families) are independently retrieved.
Sparse: Null columns do not occupy storage space.

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