Application Scenarios
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.
- 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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