What distinguishes HBase from Hadoop and HDFS?

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HBase is a NoSQL database that is built on top of Hadoop and HDFS, but it differs from Hadoop and HDFS in several ways:

1. Data Model: Hadoop and HDFS store data in a distributed file system using a file system model. HBase, on the other hand, stores data in a distributed non-relational database that provides key-value storage.

2. Scalability: Hadoop and HDFS allow for horizontal scaling of data nodes, but HBase provides a more fine-grained scalability, allowing for efficient scaling of individual tables.

3. Query Language: HBase provides a query language that is similar to SQL, whereas Hadoop and HDFS require MapReduce programming for querying data.

4. Real-time Processing: HBase is designed to support real-time processing of data, making it suitable for high-performance, low-latency applications.

5. Data Consistency: HBase provides strong data consistency guarantees, which is important for applications that require ACID properties.

Overall, HBase provides a more flexible and robust infrastructure for storing and processing large-scale data than Hadoop and HDFS alone.