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DBMS > Milvus vs. Prometheus vs. RDF4J vs. Yanza

System Properties Comparison Milvus vs. Prometheus vs. RDF4J vs. Yanza

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonPrometheus  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.
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesOpen-source Time Series DBMS and monitoring systemRDF4J 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 modelVector DBMSTime Series DBMSRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitemilvus.ioprometheus.iordf4j.orgyanza.com
Technical documentationmilvus.io/­docs/­overview.mdprometheus.io/­docsrdf4j.org/­documentation
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yanza
Initial release2019201520042015
Current release2.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 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 languageC++, GoGoJava
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Linux
OS X
Unix
Windows
Windows
Data schemeyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateVector, Numeric and StringNumeric data onlyyesno
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 infoImport of XML data possibleno
Secondary indexesnonoyesno
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby Federationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
noneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlRole based access control and fine grained access rightsnonono
More information provided by the system vendor
MilvusPrometheusRDF4J infoformerly known as SesameYanza
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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More resources
MilvusPrometheusRDF4J infoformerly known as SesameYanza
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