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DBMS > Milvus vs. mSQL vs. OrigoDB vs. Prometheus vs. RDF4J

System Properties Comparison Milvus vs. mSQL vs. OrigoDB vs. Prometheus vs. RDF4J

Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelVector DBMSRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitemilvus.iohughestech.com.au/­products/­msqlorigodb.comprometheus.iordf4j.org
Technical documentationmilvus.io/­docs/­overview.mdorigodb.com/­docsprometheus.io/­docsrdf4j.org/­documentation
DeveloperHughes TechnologiesRobert Friberg et alSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201919942009 infounder the name LiveDB20152004
Current release2.3.4, January 20244.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen SourceOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
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++, GoCC#GoJava
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateVector, Numeric and StringyesUser defined using .NET types and collectionsNumeric data onlyyes
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 infocan be achieved using .NETno infoImport of XML data possible
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnonono
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyesnoyes
Triggersnonoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
nonenone
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlRole based access control and fine grained access rightsnoRole based authorizationnono
More information provided by the system vendor
MilvusmSQL infoMini SQLOrigoDBPrometheusRDF4J infoformerly known as Sesame
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
MilvusmSQL infoMini SQLOrigoDBPrometheusRDF4J infoformerly known as Sesame
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