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DBMS > Apache Doris vs. Greenplum vs. Netezza

System Properties Comparison Apache Doris vs. Greenplum vs. Netezza

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGreenplum  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Data warehouse and analytics appliance part of IBM PureSystems
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
Score0.66
Rank#243  Overall
#115  Relational DBMS
Score11.32
Rank#46  Overall
#30  Relational DBMS
Score16.79
Rank#40  Overall
#25  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
greenplum.orgwww.ibm.com/­products/­netezza
Technical documentationgithub.com/­apache/­doris/­wikidocs.greenplum.org
DeveloperApache Software Foundation, originally contributed from BaiduPivotal Software Inc.IBM
Initial release201720052000
Current release0.14, May 20216.7.1, April 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinuxLinuxLinux infoincluded in appliance
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.noyes infosince Version 4.2
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesJavaC
Java
Perl
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsyesyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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 controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Apache DorisGreenplumNetezza infoAlso called PureData System for Analytics by IBM
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