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DBMS > 4D vs. AllegroGraph vs. Databricks vs. H2 vs. ObjectBox

System Properties Comparison 4D vs. AllegroGraph vs. Databricks vs. H2 vs. ObjectBox

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAllegroGraph  Xexclude from comparisonDatabricks  Xexclude from comparisonH2  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemHigh performance, persistent RDF store with additional support for Graph DBMSThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Full-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 DBMSDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Relational DBMS
Relational DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsSpatial DBMSSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websitewww.4d.comallegrograph.comwww.databricks.comwww.h2database.comgithub.com/­objectbox
objectbox.io
Technical documentationdeveloper.4d.comfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.databricks.comwww.h2database.com/­html/­main.htmldocs.objectbox.io
Developer4D, IncFranz Inc.DatabricksThomas MuellerObjectBox Limited
Initial release19842004201320052017
Current releasev20, April 20238.0, December 20232.2.220, July 20234.0 (May 2024)
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercialOpen 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 servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemsOS X
Windows
Linux
OS X
Windows
hostedAll OS with a Java VMAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyesyes, 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.yesno infobulk load of XML files possibleyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL is used as query languagewith Databricks SQLyesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary native API
Supported programming languages4D proprietary IDE
PHP
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Python
R
Scala
JavaC
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresyesyes infoJavaScript or Common Lispuser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonewith Federationnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yesWith 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 methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
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.nononoyesno
User concepts infoAccess controlUsers and groupsUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardyes
More information provided by the system vendor
4D infoformer name: 4th DimensionAllegroGraphDatabricksH2ObjectBox
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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