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DBMS > Fujitsu Enterprise Postgres vs. JanusGraph vs. Milvus vs. RDFox

System Properties Comparison Fujitsu Enterprise Postgres vs. JanusGraph vs. Milvus vs. RDFox

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMilvus  Xexclude from comparisonRDFox  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 2017A DBMS designed for efficient storage of vector data and vector similarity searchesHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSGraph DBMSVector 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
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.postgresql.fastware.comjanusgraph.orgmilvus.iowww.oxfordsemantic.tech
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.janusgraph.orgmilvus.io/­docs/­overview.mddocs.oxfordsemantic.tech
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyLinux Foundation; originally developed as Titan by AureliusOxford Semantic Technologies
Initial release201720192017
Current releaseFujitsu Enterprise Postgres 14, January 20220.6.3, February 20232.4.4, May 20246.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageCJavaC++, GoC++
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Windows
Data schemeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnonono
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
RESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
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
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerRole based access control and fine grained access rightsRoles, resources, and access types
More information provided by the system vendor
Fujitsu Enterprise PostgresJanusGraph infosuccessor of TitanMilvusRDFox
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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Fujitsu Enterprise PostgresJanusGraph infosuccessor of TitanMilvusRDFox
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