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DBMS > Hive vs. openGauss vs. StarRocks

System Properties Comparison Hive vs. openGauss vs. StarRocks

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonopenGauss  Xexclude from comparisonStarRocks  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitehive.apache.orggitee.com/­opengauss
opengauss.org
www.starrocks.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software Foundation infoinitially developed by FacebookHuawei and openGauss communityThe Linux Foundation infosince Feb 2023
Initial release201220192020
Current release3.1.3, April 20223.0, March 20222.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++, JavaC++, Java
Server operating systemsAll OS with a Java VMLinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL 2011yes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesC++
Java
PHP
Python
C
C++
Java
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functions
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)horizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rights

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More resources
HiveopenGaussStarRocks
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