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DBMS > 4D vs. Apache Phoenix vs. Google Cloud Datastore vs. H2 vs. ObjectBox

System Properties Comparison 4D vs. Apache Phoenix vs. Google Cloud Datastore vs. H2 vs. ObjectBox

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonH2  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA scale-out RDBMS with evolutionary schema built on Apache HBaseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFull-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 DBMSRelational DBMSDocument storeRelational DBMSObject 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
Score4.36
Rank#72  Overall
#12  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websitewww.4d.comphoenix.apache.orgcloud.google.com/­datastorewww.h2database.comgithub.com/­objectbox
objectbox.io
Technical documentationdeveloper.4d.comphoenix.apache.orgcloud.google.com/­datastore/­docswww.h2database.com/­html/­main.htmldocs.objectbox.io
Developer4D, IncApache Software FoundationGoogleThomas MuellerObjectBox Limited
Initial release19842014200820052017
Current releasev20, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20192.2.220, July 20234.0 (May 2024)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen 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 languageJavaJavaC and C++
Server operating systemsOS X
Windows
Linux
Unix
Windows
hostedAll OS with a Java VMAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes, 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.yesnononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yesSQL-like query language (GQL)yesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary native API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresyesuser defined functionsusing Google App EngineJava Stored Procedures and User-Defined Functionsno
TriggersyesnoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Multi-source replication using PaxosWith 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 methodsnoHadoop integrationyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
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.noyesnoyesno
User concepts infoAccess controlUsers and groupsAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes
More information provided by the system vendor
4D infoformer name: 4th DimensionApache PhoenixGoogle Cloud DatastoreH2ObjectBox
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