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DBMS > 4D vs. Apache Phoenix vs. H2 vs. MarkLogic vs. ObjectBox

System Properties Comparison 4D vs. Apache Phoenix vs. H2 vs. MarkLogic vs. ObjectBox

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Phoenix  Xexclude from comparisonH2  Xexclude from comparisonMarkLogic  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA scale-out RDBMS with evolutionary schema built on Apache HBaseFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Operational and transactional Enterprise NoSQL databaseLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Object oriented DBMS
Vector DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websitewww.4d.comphoenix.apache.orgwww.h2database.comwww.progress.com/­marklogicgithub.com/­objectbox
objectbox.io
Technical documentationdeveloper.4d.comphoenix.apache.orgwww.h2database.com/­html/­main.htmlwww.progress.com/­marklogic/­documentationdocs.objectbox.io
Developer4D, IncApache Software FoundationThomas MuellerMarkLogic Corp.ObjectBox Limited
Initial release19842014200520012017
Current releasev20, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20192.2.220, July 202311.0, December 20224.0 (May 2024)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial inforestricted free version is availableBindings 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C and C++
Server operating systemsOS X
Windows
Linux
Unix
Windows
All OS with a Java VMLinux
OS X
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, 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.yesnonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yesyesyes infoSQL92no
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCJDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary native API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresyesuser defined functionsJava Stored Procedures and User-Defined Functionsyes infovia XQuery or JavaScriptno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseyesData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyesyes, with Range Indexesno
User concepts infoAccess controlUsers and groupsAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsyes
More information provided by the system vendor
4D infoformer name: 4th DimensionApache PhoenixH2MarkLogicObjectBox
News

The on-device Vector Database for Android and Java
29 May 2024

Vector search: making sense of search queries
29 May 2024

Python on-device Vector and Object Database for Local AI
28 May 2024

Evolution of search: traditional vs vector search
23 May 2024

On-device Vector Database for Dart/Flutter
21 May 2024

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More resources
4D infoformer name: 4th DimensionApache PhoenixH2MarkLogicObjectBox
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