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DBMS > Fujitsu Enterprise Postgres vs. JanusGraph vs. Lovefield vs. mSQL

System Properties Comparison Fujitsu Enterprise Postgres vs. JanusGraph vs. Lovefield vs. mSQL

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLovefield  Xexclude from comparisonmSQL infoMini SQL  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 2017Embeddable relational database for web apps written in pure JavaScriptmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational 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
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websitewww.postgresql.fastware.comjanusgraph.orggoogle.github.io/­lovefieldhughestech.com.au/­products/­msql
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.janusgraph.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyLinux Foundation; originally developed as Titan by AureliusGoogleHughes Technologies
Initial release201720141994
Current releaseFujitsu Enterprise Postgres 14, January 20220.6.3, February 20232.1.12, February 20174.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaScriptC
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesnoSQL-like query language infovia JavaScript builder patternA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
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
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Python
JavaScriptC
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresuser defined functionsyesnono
TriggersyesyesUsing read-only observersno
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)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesno
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)yesyesno
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBno
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Servernono

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More resources
Fujitsu Enterprise PostgresJanusGraph infosuccessor of TitanLovefieldmSQL infoMini SQL
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