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DBMS > Fujitsu Enterprise Postgres vs. Milvus vs. RDF4J vs. Yanza

System Properties Comparison Fujitsu Enterprise Postgres vs. Milvus vs. RDF4J vs. Yanza

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonMilvus  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A DBMS designed for efficient storage of vector data and vector similarity searchesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Time Series DBMS for IoT Applications
Primary database modelRelational DBMSVector DBMSRDF storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.postgresql.fastware.commilvus.iordf4j.orgyanza.com
Technical documentationwww.postgresql.fastware.com/­product-manualsmilvus.io/­docs/­overview.mdrdf4j.org/­documentation
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yanza
Initial release201920042015
Current releaseFujitsu Enterprise Postgres 14, January 20222.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
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 languageCC++, GoJava
Server operating systemsLinux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Unix
Windows
Windows
Data schemeyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesno
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 indexesyesnoyesno
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Java
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersyesnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
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-standardRole based access control and fine grained access rightsnono
More information provided by the system vendor
Fujitsu Enterprise PostgresMilvusRDF4J infoformerly known as SesameYanza
Specific characteristics100% compatible with community PostgreSQL
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
RAG: 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 metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsCore based licensing
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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Fujitsu Enterprise PostgresMilvusRDF4J infoformerly known as SesameYanza
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