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DBMS > DataFS vs. Fujitsu Enterprise Postgres vs. Linter vs. Solr vs. TinkerGraph

System Properties Comparison DataFS vs. Fujitsu Enterprise Postgres vs. Linter vs. Solr vs. TinkerGraph

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonLinter  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.RDBMS for high security requirementsA widely used distributed, scalable search engine based on Apache LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSSearch engineGraph DBMS
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
Spatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitenewdatabase.comwww.postgresql.fastware.comlinter.rusolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdev.mobiland.com/­Overview.xspwww.postgresql.fastware.com/­product-manualssolr.apache.org/­resources.html
DeveloperMobiland AGPostgreSQL Global Development Group, Fujitsu Australia Software Technologyrelex.ruApache Software Foundation
Initial release2018199020062009
Current release1.1.263, October 2022Fujitsu Enterprise Postgres 14, January 20229.6.0, April 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++JavaJava
Server operating systemsWindowsLinux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesnoyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoyesyesSolr Parallel SQL Interfaceno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresuser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLJava pluginsno
Triggersno, except callback-events from server when changes happenedyesyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systempartitioning by range, list and by hashnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
DataFSFujitsu Enterprise PostgresLinterSolrTinkerGraph
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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More resources
DataFSFujitsu Enterprise PostgresLinterSolrTinkerGraph
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