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This article mainly introduces what is the difference between Hbase and hive. It is very detailed and has certain reference value. Friends who are interested must finish reading it.

Both 1.hbase and hive are built on top of hadoop. Hadoop is used as the underlying storage difference:

2.Hive is a batch processing system based on Hadoop to reduce the writing work of MapReducejobs, and HBase is a project to support a project to make up for Hadoop's shortcomings in real-time operation.

3. Imagine you are operating a RMDB database. If it is a full table scan, use Hive+Hadoop, and if it is an index access, use HBase+Hadoop.

4.Hive query is that MapReduce jobs can run from 5 minutes to more than a few hours. HBase is very efficient and certainly much more efficient than Hive.

5.Hive itself does not store and calculate data, and it relies entirely on table-pure logic in HDFS and MapReduce,Hive.

6.hive borrows MapReduce from hadoop to execute some commands in hive.

7.hbase is a physical table, not a logical table. It provides a super-large memory hash table, through which search engines store indexes to facilitate query operations.

8.hbase is a column store.

9.hdfs is the underlying storage, hdfs is the system for storing files, and Hbase is responsible for organizing files.

10.hive needs to use hdfs storage files and the MapReduce computing framework. Explain the principle of hbase real-time query

These are all the contents of this article entitled "what's the difference between Hbase and hive". Thank you for reading! Hope to share the content to help you, more related knowledge, welcome to follow the industry information channel!

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