Top Ten Differences Between Apache Hive and Hbase



S.NOApache HiveApache Hbase
1Hive is Datawarehousing tool and used to process the data in hadoop and HDFS.Hive is similar to SQL because it analyze and process the data with querying language.Apache Hbase is open source framework and it is a NoSql Database.
2Hive runs on MapReduce and top of the HadoopHbase runs on top of the HDFS
3Main Purpose of hive is analyze,querying and processing the datasetsMain Purpose of hbase is read and write more number of data sets
4In Hive Metastore,Tables,Partitions and Buckets are used to data storage.In Hbase data are stored in Column and Row wise of tables
5Update the data is complicated in HiveHbase is easily update the data using queries
6Hive is not interact with queries for processing the dataHbase is mainly interact with queries language.
7Metastore,Execution Engine and MapReduce are main components of hive.Master server,Regions,Zookepper and region server are main components of hbase.
8Apache hive allows sql queries for data processingSql queries are not accepted in Hbase.
9Insert,Update and delete the table operations are not made in Apache hive.It allows the Insert and delete operations
10Main advantages of hive is it analyze the data using SQL queries and hive also known as HQL.Main Advantage of Hbase – It stores the data as row and column wise so processing the data easily in Hbase

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