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DBMS > Apache Phoenix vs. Hive vs. MySQL vs. openGauss vs. Oracle Rdb

System Properties Comparison Apache Phoenix vs. Hive vs. MySQL vs. openGauss vs. Oracle Rdb

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHive  Xexclude from comparisonMySQL  Xexclude from comparisonopenGauss  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBasedata warehouse software for querying and managing large distributed datasets, built on HadoopWidely used open source RDBMSAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitephoenix.apache.orghive.apache.orgwww.mysql.comgitee.com/­opengauss
opengauss.org
www.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationphoenix.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homedev.mysql.com/­docdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software FoundationApache Software Foundation infoinitially developed by FacebookOracle infosince 2010, originally MySQL AB, then SunHuawei and openGauss communityOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20142012199520191984
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1.3, April 20228.4.0, April 20243.0, March 20227.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaJavaC and C++C, C++, Java
Server operating systemsLinux
Unix
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
LinuxHP Open VMS
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infowith proprietary extensionsANSI SQL 2011yes
APIs and other access methodsJDBCJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceyes infoproprietary syntaxyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and rolesUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standard

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Apache PhoenixHiveMySQLopenGaussOracle Rdb
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