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DBMS > Hive vs. openGauss vs. Postgres-XL vs. Quasardb

System Properties Comparison Hive vs. openGauss vs. Postgres-XL vs. Quasardb

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonopenGauss  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  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 HuaweiBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitehive.apache.orggitee.com/­opengauss
opengauss.org
www.postgres-xl.orgquasar.ai
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.postgres-xl.org/­documentationdoc.quasar.ai/­master
DeveloperApache Software Foundation infoinitially developed by FacebookHuawei and openGauss communityquasardb
Initial release201220192014 infosince 2012, originally named StormDB2009
Current release3.1.3, April 20223.0, March 202210 R1, October 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaCC++
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL 2011yes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesC++
Java
PHP
Python
C
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)horizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
HiveopenGaussPostgres-XLQuasardb
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