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DBMS > GigaSpaces vs. PostgreSQL vs. Quasardb vs. Sphinx

System Properties Comparison GigaSpaces vs. PostgreSQL vs. Quasardb vs. Sphinx

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.gigaspaces.comwww.postgresql.orgquasar.aisphinxsearch.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.postgresql.org/­docsdoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperGigaspaces TechnologiesPostgreSQL Global Development Group infowww.postgresql.org/­developerquasardbSphinx Technologies Inc.
Initial release20001989 info1989: Postgres, 1996: PostgreSQL20092001
Current release15.5, September 202016.3, May 20243.14.1, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetCC++C++
Server operating systemsLinux
macOS
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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 metadatayes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-99 for query and DML statementsyes infostandard with numerous extensionsSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIProprietary protocol
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyes, event driven architectureyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes 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.yesnoyes infoTransient mode
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailno

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More resources
GigaSpacesPostgreSQLQuasardbSphinx
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