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DBMS > ArcadeDB vs. Fujitsu Enterprise Postgres vs. HarperDB vs. ObjectBox

System Properties Comparison ArcadeDB vs. Fujitsu Enterprise Postgres vs. HarperDB vs. ObjectBox

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHarperDB  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSDocument storeObject oriented DBMS
Vector DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websitearcadedb.comwww.postgresql.fastware.comwww.harperdb.iogithub.com/­objectbox
objectbox.io
Technical documentationdocs.arcadedb.comwww.postgresql.fastware.com/­product-manualsdocs.harperdb.io/­docsdocs.objectbox.io
DeveloperArcade DataPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHarperDBObjectBox Limited
Initial release202120172017
Current releaseSeptember 2021Fujitsu Enterprise Postgres 14, January 20223.1, August 20214.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree community edition availableBindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCNode.jsC and C++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeschema-freeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes, 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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsyesSQL-like data manipulation statementsno
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary native API
Supported programming languagesJava.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1no
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infothe nodes on which a table resides can be definedData 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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesyes
More information provided by the system vendor
ArcadeDBFujitsu Enterprise PostgresHarperDBObjectBox
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More resources
ArcadeDBFujitsu Enterprise PostgresHarperDBObjectBox
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