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What distinguishes HBase from Hadoop and HDFS?

asked 2021-11-10 11:00:00 +0000

lakamha gravatar image

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answered 2022-11-11 02:00:00 +0000

nofretete gravatar image

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.

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Asked: 2021-11-10 11:00:00 +0000

Seen: 17 times

Last updated: Nov 11 '22