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DBMS > Fujitsu Enterprise Postgres vs. TinkerGraph vs. Transwarp StellarDB

System Properties Comparison Fujitsu Enterprise Postgres vs. TinkerGraph vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSGraph DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.postgresql.fastware.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.transwarp.cn/­en/­product/­stellardb
Technical documentationwww.postgresql.fastware.com/­product-manuals
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyTranswarp
Initial release2009
Current releaseFujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsLinux
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesno
SQL infoSupport of SQLyesnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
TinkerPop 3OpenCypher
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Groovy
Java
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)noyes
Durability infoSupport for making data persistentyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes

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More resources
Fujitsu Enterprise PostgresTinkerGraphTranswarp StellarDB
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