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DBMS > Netezza vs. OushuDB vs. Postgres-XL

System Properties Comparison Netezza vs. OushuDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOushuDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
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
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.ibm.com/­products/­netezzawww.oushu.com/­product/­oushuDBwww.postgres-xl.org
Technical documentationwww.oushu.com/­documentationwww.postgres-xl.org/­documentation
DeveloperIBMOushu
Initial release20002014 infosince 2012, originally named StormDB
Current release4.0.1, August 202010 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemsLinux infoincluded in applianceLinuxLinux
macOS
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.yes infoXML type, but no XML query functionality
Secondary indexesyesyesyes
SQL infoSupport of SQLyesFull-featured ANSI SQL supportyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesyesuser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCC
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.no
User concepts infoAccess controlUsers with fine-grained authorization conceptKerberos, SSL and role based accessfine grained access rights according to SQL-standard

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More resources
Netezza infoAlso called PureData System for Analytics by IBMOushuDBPostgres-XL
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