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DBMS > FoundationDB vs. Fujitsu Enterprise Postgres vs. Postgres-XL vs. RDF4J

System Properties Comparison FoundationDB vs. Fujitsu Enterprise Postgres vs. Postgres-XL vs. RDF4J

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRDF4J infoformerly known as Sesame  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegithub.com/­apple/­foundationdbwww.postgresql.fastware.comwww.postgres-xl.orgrdf4j.org
Technical documentationapple.github.io/­foundationdbwww.postgresql.fastware.com/­product-manualswww.postgres-xl.org/­documentationrdf4j.org/­documentation
DeveloperFoundationDBPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20132014 infosince 2012, originally named StormDB2004
Current release6.2.28, November 2020Fujitsu Enterprise Postgres 14, January 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMozilla public licenseOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CCJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
macOS
Linux
OS X
Unix
Windows
Data schemeschema-free infosome layers support schemasyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes
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.yes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesyes infodistributed, parallel query executionno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
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++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresin SQL-layer onlyuser defined functionsuser defined functionsyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
FoundationDBFujitsu Enterprise PostgresPostgres-XLRDF4J infoformerly known as Sesame
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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FoundationDBFujitsu Enterprise PostgresPostgres-XLRDF4J infoformerly known as Sesame
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