Answer / Vishal Karmakar

1. Scalability: HBase is designed to scale to handle large amounts of data and millions of requests per second. It achieves this by distributing data across multiple servers (Region Servers) and efficiently managing data on disk.
2. Flexible Data Model: HBase allows for a flexible schema, enabling users to add or remove columns from tables without affecting the performance or availability of existing data.
3. Column-oriented Storage: HBase stores data by column families instead of rows, making it efficient at handling sparse data and queries that involve many columns.

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