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DBMS > Apache Impala vs. HBase vs. Hive vs. Oracle Rdb vs. Tkrzw

System Properties Comparison Apache Impala vs. HBase vs. Hive vs. Oracle Rdb vs. Tkrzw

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopWide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteimpala.apache.orghbase.apache.orghive.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmldbmx.net/­tkrzw
Technical documentationimpala.apache.org/­impala-docs.htmlhbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookOracle, originally developed by Digital Equipment Corporation (DEC)Mikio Hirabayashi
Initial release20132008201219842020
Current release4.1.0, June 20222.3.4, January 20213.1.3, April 20227.4.1.1, 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2Open Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaC++
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
All OS with a Java VMHP Open VMSLinux
macOS
Data schemeyesschema-free, schema definition possibleyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)noyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesno

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Apache ImpalaHBaseHiveOracle RdbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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