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개발/HADOOP_SPARK_ETC

hbase vs impala

by 로그인시러 2017. 4. 11.


Editorial information provided by DB-Engines
NameHBase  XImpala  X
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAnalytic DBMS for Hadoop
Database modelWide column storeRelational DBMS
DB-Engines Ranking 
Trend Chart
Score58.47
Rank#15  Overall
#2  Wide column stores
Score11.23
Rank#32  Overall
#20  Relational DBMS
Websitehbase.apache.orgwww.cloudera.com/­content/­www/­en-us/­products/­apache-hadoop/­impala.html
Technical documentationhbase.apache.orgwww.cloudera.com/­content/­www/­en-us/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperApache Software Foundation Cloudera
Initial release2008
Current release1.2.5, March 20172.7.0
License Open Source Open Source 
Cloud-based nono
Implementation languageJavaC++
Server operating systemsLinux
Unix
Windows 
Linux
Data schemeschema-freeyes
Typing noyes
XML support nono
Secondary indexesnoyes
SQL nono 
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC
Server-side scripts yes yes 
Triggersyesno
Partitioning methods ShardingSharding
Replication methods selectable replication factorselectable replication factor
MapReduce yesyes 
Consistency concepts Immediate ConsistencyEventual Consistency
Foreign keys nono
Transaction concepts nono
Concurrency yesyes
Durability yesyes
In-memory capabilities nono
User concepts Access Control Lists (ACL) Access rights for users, groups and roles 


출처 : https://db-engines.com/en/system/HBase%3bImpala

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