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DBMS > Fujitsu Enterprise Postgres vs. JanusGraph vs. Quasardb vs. SiteWhere

System Properties Comparison Fujitsu Enterprise Postgres vs. JanusGraph vs. Quasardb vs. SiteWhere

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Distributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSGraph DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitewww.postgresql.fastware.comjanusgraph.orgquasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.janusgraph.orgdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyLinux Foundation; originally developed as Titan by AureliusquasardbSiteWhere
Initial release201720092010
Current releaseFujitsu Enterprise Postgres 14, January 20221.0.0, October 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++Java
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nonono
Secondary indexesyesyesyes infowith tagsno
SQL infoSupport of SQLyesnoSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP APIHTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginewith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept

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Fujitsu Enterprise PostgresJanusGraph infosuccessor of TitanQuasardbSiteWhere
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