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DBMS > Milvus vs. OrigoDB vs. PouchDB vs. STSdb vs. Valentina Server

System Properties Comparison Milvus vs. OrigoDB vs. PouchDB vs. STSdb vs. Valentina Server

Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparisonValentina Server  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 CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodObject-relational database and reports server
Primary database modelVector DBMSDocument store
Object oriented DBMS
Document storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitemilvus.ioorigodb.compouchdb.comgithub.com/­STSSoft/­STSdb4www.valentina-db.net
Technical documentationmilvus.io/­docs/­overview.mdorigodb.com/­docspouchdb.com/­guidesvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperRobert Friberg et alApache Software FoundationSTS Soft SCParadigma Software
Initial release20192009 infounder the name LiveDB201220111999
Current release2.3.4, January 20247.1.1, June 20194.0.8, September 20155.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen SourceOpen Source infoGPLv2, commercial license availablecommercial
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)WindowsLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateVector, Numeric and StringUser defined using .NET types and collectionsnoyes infoprimitive types and user defined types (classes)yes
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 viewsnoyes
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
.NET Client APIODBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.NetJavaScriptC#
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesView functions in JavaScriptnoyes
Triggersnoyes infoDomain Eventsyesnoyes
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-loungenone
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
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynodepending on modelnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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 authorizationnonofine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusOrigoDBPouchDBSTSdbValentina Server
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
MilvusOrigoDBPouchDBSTSdbValentina Server
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