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DBMS > Milvus vs. OrientDB vs. OrigoDB vs. PouchDB

System Properties Comparison Milvus vs. OrientDB vs. OrigoDB vs. PouchDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonOrientDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesMulti-model DBMS (Document, Graph, Key/Value)A fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelVector DBMSDocument store
Graph DBMS
Key-value store
Document store
Object oriented DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitemilvus.ioorientdb.orgorigodb.compouchdb.com
Technical documentationmilvus.io/­docs/­overview.mdwww.orientdb.com/­docs/­last/­index.htmlorigodb.com/­docspouchdb.com/­guides
DeveloperOrientDB LTD; CallidusCloud; SAPRobert Friberg et alApache Software Foundation
Initial release201920102009 infounder the name LiveDB2012
Current release2.3.4, January 20243.2.29, March 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open SourceOpen Source
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++, GoJavaC#JavaScript
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java JDK (>= JDK 6)Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesschema-free
Typing infopredefined data types such as float or dateVector, Numeric and StringyesUser defined using .NET types and collectionsno
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
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnoSQL-like query language, no joinsnono
APIs and other access methodsRESTful HTTP APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.NetJavaScript
Server-side scripts infoStored proceduresnoJava, JavascriptyesView functions in JavaScript
TriggersnoHooksyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole based access control and fine grained access rightsAccess rights for users and roles; record level security configurableRole based authorizationno
More information provided by the system vendor
MilvusOrientDBOrigoDBPouchDB
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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MilvusOrientDBOrigoDBPouchDB
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