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DBMS > Fujitsu Enterprise Postgres vs. GigaSpaces vs. Netezza vs. Sphinx vs. Valentina Server

System Properties Comparison Fujitsu Enterprise Postgres vs. GigaSpaces vs. Netezza vs. Sphinx vs. Valentina Server

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGigaSpaces  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSphinx  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsData warehouse and analytics appliance part of IBM PureSystemsOpen source search engine for searching in data from different sources, e.g. relational databasesObject-relational database and reports server
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.postgresql.fastware.comwww.gigaspaces.comwww.ibm.com/­products/­netezzasphinxsearch.comwww.valentina-db.net
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.gigaspaces.com/­latest/­landing.htmlsphinxsearch.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGigaspaces TechnologiesIBMSphinx Technologies Inc.Paradigma Software
Initial release2000200020011999
Current releaseFujitsu Enterprise Postgres 14, January 202215.5, September 20203.5.1, February 20235.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetC++
Server operating systemsLinux
Windows
Linux
macOS
Solaris
Windows
Linux infoincluded in applianceFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.no infoXML can be used for describing objects metadata
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsyesSQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
OLE DB
Proprietary protocolODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsyesyesnoyes
Triggersyesyes, event driven architecturenonoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlUsers with fine-grained authorization conceptnofine grained access rights according to SQL-standard

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More resources
Fujitsu Enterprise PostgresGigaSpacesNetezza infoAlso called PureData System for Analytics by IBMSphinxValentina Server
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