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DBMS > Milvus vs. OrigoDB vs. PouchDB vs. RDFox vs. Transwarp KunDB

System Properties Comparison Milvus vs. OrigoDB vs. PouchDB vs. RDFox vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRDFox  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDBHigh performance knowledge graph and semantic reasoning engineOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelVector DBMSDocument store
Object oriented DBMS
Document storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitemilvus.ioorigodb.compouchdb.comwww.oxfordsemantic.techwww.transwarp.cn/­en/­product/­kundb
Technical documentationmilvus.io/­docs/­overview.mdorigodb.com/­docspouchdb.com/­guidesdocs.oxfordsemantic.tech
DeveloperRobert Friberg et alApache Software FoundationOxford Semantic TechnologiesTranswarp
Initial release20192009 infounder the name LiveDB20122017
Current release2.3.4, January 20247.1.1, June 20196.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Sourcecommercialcommercial
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++, GoC#JavaScriptC++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Data schemeyesschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateVector, Numeric and StringUser defined using .NET types and collectionsnoyesyes
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 infocan be achieved using .NETno
Secondary indexesnoyesyes infovia viewsyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsRESTful HTTP API.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.NetJavaScriptC
Java
Server-side scripts infoStored proceduresnoyesView functions in JavaScriptyes
Triggersnoyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlRole based access control and fine grained access rightsRole based authorizationnoRoles, resources, and access typesyes
More information provided by the system vendor
MilvusOrigoDBPouchDBRDFoxTranswarp KunDB
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
MilvusOrigoDBPouchDBRDFoxTranswarp KunDB
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