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DBMS > EsgynDB vs. FoundationDB vs. Fujitsu Enterprise Postgres vs. jBASE vs. RDFox

System Properties Comparison EsgynDB vs. FoundationDB vs. Fujitsu Enterprise Postgres vs. jBASE vs. RDFox

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonjBASE  Xexclude from comparisonRDFox  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOrdered 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.A robust multi-value DBMS comprising development tools and middlewareHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSMultivalue DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.esgyn.cngithub.com/­apple/­foundationdbwww.postgresql.fastware.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.oxfordsemantic.tech
Technical documentationapple.github.io/­foundationdbwww.postgresql.fastware.com/­product-manualsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.oxfordsemantic.tech
DeveloperEsgynFoundationDBPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyRocket Software (formerly Zumasys)Oxford Semantic Technologies
Initial release2015201319912017
Current release6.2.28, November 2020Fujitsu Enterprise Postgres 14, January 20225.76.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial
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 languageC++, JavaC++CC++
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
AIX
Linux
Windows
Linux
macOS
Windows
Data schemeyesschema-free infosome layers support schemasyesschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesoptionalyes
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.noyes
Secondary indexesyesnoyes
SQL infoSupport of SQLyessupported in specific SQL layer onlyyesEmbedded SQL for jBASE in BASICno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.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
Basic
Jabbascript
Java
C
Java
Server-side scripts infoStored proceduresJava Stored Proceduresin SQL-layer onlyuser defined functionsyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesSource-replica replicationyesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardAccess rights can be defined down to the item levelRoles, resources, and access types
More information provided by the system vendor
EsgynDBFoundationDBFujitsu Enterprise PostgresjBASERDFox
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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EsgynDBFoundationDBFujitsu Enterprise PostgresjBASERDFox
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