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DBMS > Linter vs. Milvus vs. RDFox vs. XTDB

System Properties Comparison Linter vs. Milvus vs. RDFox vs. XTDB

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonMilvus  Xexclude from comparisonRDFox  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionRDBMS for high security requirementsA DBMS designed for efficient storage of vector data and vector similarity searchesHigh performance knowledge graph and semantic reasoning engineA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSVector DBMSGraph DBMS
RDF store
Document store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitelinter.rumilvus.iowww.oxfordsemantic.techgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationmilvus.io/­docs/­overview.mddocs.oxfordsemantic.techwww.xtdb.com/­docs
Developerrelex.ruOxford Semantic TechnologiesJuxt Ltd.
Initial release1990201920172019
Current release2.4.4, May 20246.0, Septermber 20221.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoMIT License
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 languageC and C++C++, GoC++Clojure
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyes, extensible-data-notation format
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 indexesyesnoyes
SQL infoSupport of SQLyesnonolimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APIRESTful HTTP API
SPARQL 1.1
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Clojure
Java
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationreplication via a shared file systemyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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-standardRole based access control and fine grained access rightsRoles, resources, and access types
More information provided by the system vendor
LinterMilvusRDFoxXTDB infoformerly named Crux
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
LinterMilvusRDFoxXTDB infoformerly named Crux
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