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DBMS > 4D vs. Badger vs. GigaSpaces vs. H2 vs. ObjectBox

System Properties Comparison 4D vs. Badger vs. GigaSpaces vs. H2 vs. ObjectBox

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBadger  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelRelational DBMSKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websitewww.4d.comgithub.com/­dgraph-io/­badgerwww.gigaspaces.comwww.h2database.comgithub.com/­objectbox
objectbox.io
Technical documentationdeveloper.4d.comgodoc.org/­github.com/­dgraph-io/­badgerdocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.htmldocs.objectbox.io
Developer4D, IncDGraph LabsGigaspaces TechnologiesThomas MuellerObjectBox Limited
Initial release19842017200020052017
Current releasev20, April 202315.5, September 20202.2.220, July 20234.0 (May 2024)
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Bindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetJavaC and C++
Server operating systemsOS X
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
All OS with a Java VMAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes, plus "flex" map-like types
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.yesnono infoXML can be used for describing objects metadatanono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-99 for query and DML statementsyesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary native API
Supported programming languages4D proprietary IDE
PHP
Go.Net
C++
Java
Python
Scala
JavaC
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresyesnoyesJava Stored Procedures and User-Defined Functionsno
Triggersyesnoyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
With clustering: 2 database servers on different computers operate on identical copies of a databaseData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlUsers and groupsnoRole-based access controlfine grained access rights according to SQL-standardyes
More information provided by the system vendor
4D infoformer name: 4th DimensionBadgerGigaSpacesH2ObjectBox
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