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DBMS > Netezza vs. Postgres-XL vs. SAP SQL Anywhere vs. Sphinx

System Properties Comparison Netezza vs. Postgres-XL vs. SAP SQL Anywhere vs. Sphinx

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitewww.ibm.com/­products/­netezzawww.postgres-xl.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsphinxsearch.com
Technical documentationwww.postgres-xl.org/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywheresphinxsearch.com/­docs
DeveloperIBMSAP infoformerly SybaseSphinx Technologies Inc.
Initial release20002014 infosince 2012, originally named StormDB19922001
Current release10 R1, October 201817, July 20153.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licensecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemsLinux infoincluded in applianceLinux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 functionalityyes
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyes infodistributed, parallel query executionyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesuser defined functionsyes, in C/C++, Java, .Net or Perlno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Netezza infoAlso called PureData System for Analytics by IBMPostgres-XLSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinx
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