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DBMS > GigaSpaces vs. ObjectBox vs. PostgreSQL

System Properties Comparison GigaSpaces vs. ObjectBox vs. PostgreSQL

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonObjectBox  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Object oriented DBMS
Vector DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsGraph DBMS
Search engine
Time Series DBMSDocument 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
Score0.94
Rank#191  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.12
Rank#173  Overall
#5  Object oriented DBMS
#8  Vector DBMS
Score638.91
Rank#4  Overall
#4  Relational DBMS
Websitewww.gigaspaces.comgithub.com/­objectbox
objectbox.io
www.postgresql.org
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.objectbox.iowww.postgresql.org/­docs
DeveloperGigaspaces TechnologiesObjectBox LimitedPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release200020171989 info1989: Postgres, 1996: PostgreSQL
Current release15.5, September 20204.0 (May 2024)16.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableBindings are released under Apache 2.0 infoApache License 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC and C++C
Server operating systemsLinux
macOS
Solaris
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyes
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 metadatanoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyes infostandard with numerous extensions
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Proprietary native APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C++
Java
Python
Scala
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Data sync between devices allowing occasional connected databases to work completely offlineSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesnono
User concepts infoAccess controlRole-based access controlyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GigaSpacesObjectBoxPostgreSQL
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More resources
GigaSpacesObjectBoxPostgreSQL
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

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