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DBMS > Badger vs. Milvus vs. OpenQM vs. RDFox

System Properties Comparison Badger vs. Milvus vs. OpenQM vs. RDFox

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMilvus  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A DBMS designed for efficient storage of vector data and vector similarity searchesQpenQM is a high-performance, self-tuning, multi-value DBMSHigh performance knowledge graph and semantic reasoning engine
Primary database modelKey-value storeVector DBMSMultivalue DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websitegithub.com/­dgraph-io/­badgermilvus.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.oxfordsemantic.tech
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgermilvus.io/­docs/­overview.mddocs.oxfordsemantic.tech
DeveloperDGraph LabsRocket Software, originally Martin PhillipsOxford Semantic Technologies
Initial release2017201919932017
Current release2.4.4, May 20243.4-126.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license availablecommercial
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 languageGoC++, GoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyes infowith some exceptionsyes infoRDF schemas
Typing infopredefined data types such as float or datenoVector, 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.nonoyes
Secondary indexesnonoyes
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesGoC++
Go
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
C
Java
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsAccess rights can be defined down to the item levelRoles, resources, and access types
More information provided by the system vendor
BadgerMilvusOpenQM infoalso called QMRDFox
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...
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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
BadgerMilvusOpenQM infoalso called QMRDFox
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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