What types of data models does HBase support?

HBase supports several types of data models.

1. Row-oriented data model: HBase is a database based on row-oriented storage, where data is stored by row and each row is uniquely identified by a primary key (row key).
2. Tabular data model: In HBase, data is stored by column family, with each column family able to contain multiple columns. The number of column families and columns can be dynamically added.
3. Multiple version data model: HBase allows for storing multiple versions of data, where each time new data is written, the old data is not overwritten but replaced by the new version. Historical data can be retrieved by using version numbers.
4. Hierarchical data model: In HBase, data can be horizontally partitioned and stored on different nodes in the cluster, which can enhance the performance and scalability of data read and write operations.
5. Nested data model: Data in HBase can have complex nested structures, supporting nested column families and columns, and can store complex data types such as arrays, nested objects, and more.