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DBMS > Milvus vs. PouchDB vs. RocksDB vs. Valentina Server

System Properties Comparison Milvus vs. PouchDB vs. RocksDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonPouchDB  Xexclude from comparisonRocksDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesJavaScript DBMS with an API inspired by CouchDBEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Object-relational database and reports server
Primary database modelVector DBMSDocument 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
Score2.28
Rank#115  Overall
#21  Document stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitemilvus.iopouchdb.comrocksdb.orgwww.valentina-db.net
Technical documentationmilvus.io/­docs/­overview.mdpouchdb.com/­guidesgithub.com/­facebook/­rocksdb/­wikivalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software FoundationFacebook, Inc.Paradigma Software
Initial release2019201220131999
Current release2.3.4, January 20247.1.1, June 20198.11.4, April 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoBSDcommercial
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++, GoJavaScriptC++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringnonoyes
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 indexesnoyes infovia viewsnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
C++ API
Java API
ODBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
JavaScriptC
C++
Go
Java
Perl
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoView functions in JavaScriptnoyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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 rightsnonofine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusPouchDBRocksDBValentina 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MilvusPouchDBRocksDBValentina Server
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