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DBMS > 4D vs. GridGain vs. JaguarDB vs. PostgreSQL vs. Quasardb

System Properties Comparison 4D vs. GridGain vs. JaguarDB vs. PostgreSQL vs. Quasardb

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemGridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applicationsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value store
Vector DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument 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
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.4d.comwww.gridgain.comwww.jaguardb.comwww.postgresql.orgquasar.ai
Technical documentationdeveloper.4d.comwww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.htmlwww.postgresql.org/­docsdoc.quasar.ai/­master
Developer4D, IncGridGain Systems, Inc.DataJaguar, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerquasardb
Initial release1984200720151989 info1989: Postgres, 1996: PostgreSQL2009
Current releasev20, April 2023GridGain 8.5.13.3 July 202316.3, May 20243.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0Open Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++ infothe server part. Clients available in other languagesCC++
Server operating systemsOS X
Windows
Linux
OS X
Solaris
Windows
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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.yesyesnoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLyes infoclose to SQL 92ANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infostandard with numerous extensionsSQL-like query language
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languages4D proprietary IDE
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)nouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)Multi-source replicationSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes infoTransient mode
User concepts infoAccess controlUsers and groupsSecurity Hooks for custom implementationsrights management via user accountsfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
4D infoformer name: 4th DimensionGridGainJaguarDBPostgreSQLQuasardb
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