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

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

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHarperDB  Xexclude from comparisonObjectBox  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Enterprise-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 infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational 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
Websitegithub.com/­apple/­foundationdbwww.postgresql.fastware.comwww.harperdb.iogithub.com/­objectbox
objectbox.io
Technical documentationapple.github.io/­foundationdbwww.postgresql.fastware.com/­product-manualsdocs.harperdb.io/­docsdocs.objectbox.io
DeveloperFoundationDBPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHarperDBObjectBox Limited
Initial release201320172017
Current release6.2.28, November 2020Fujitsu Enterprise Postgres 14, January 20223.1, August 20214.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoApache 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 languageC++CNode.jsC and C++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeschema-free infosome layers support schemasyesdynamic schemayes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes 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.nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesSQL-like data manipulation statementsno
APIs and other access methodsADO.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 languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.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 proceduresin SQL-layer onlyuser defined functionsCustom Functions infosince release 3.1no
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning 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 nodesyesSource-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 systemLinearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesnoyes
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 controlnofine grained access rights according to SQL-standardAccess rights for users and rolesyes
More information provided by the system vendor
FoundationDBFujitsu Enterprise PostgresHarperDBObjectBox
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