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DBMS > Milvus vs. ObjectBox vs. PouchDB vs. RocksDB vs. STSdb

System Properties Comparison Milvus vs. ObjectBox vs. PouchDB vs. RocksDB vs. STSdb

Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonObjectBox  Xexclude from comparisonPouchDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesExtremely fast embedded database for small devices, IoT and MobileJavaScript DBMS with an API inspired by CouchDBEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelVector DBMSObject oriented DBMSDocument storeKey-value storeKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.70
Rank#150  Overall
#5  Vector DBMS
Score1.42
Rank#169  Overall
#5  Object oriented DBMS
Score2.70
Rank#114  Overall
#22  Document stores
Score4.52
Rank#80  Overall
#10  Key-value stores
Score0.13
Rank#344  Overall
#51  Key-value stores
Websitemilvus.ioobjectbox.iopouchdb.comrocksdb.orggithub.com/­STSSoft/­STSdb4
Technical documentationmilvus.io/­docs/­overview.mddocs.objectbox.iopouchdb.com/­guidesgithub.com/­facebook/­rocksdb/­wiki
DeveloperObjectBox LimitedApache Software FoundationFacebook, Inc.STS Soft SC
Initial release20192017201220132011
Current release2.3.4, January 20247.1.1, June 20198.10.0, December 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open SourceOpen Source infoBSDOpen Source infoGPLv2, commercial license available
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 and C++JavaScriptC++C#
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
iOS
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxWindows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesnonoyes infoprimitive types and user defined types (classes)
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.nononono
Secondary indexesnoyesyes infovia viewsnono
SQL infoSupport of SQLnonononono
APIs and other access methodsRESTful HTTP APIProprietary native APIHTTP REST infoonly for PouchDB Server
JavaScript API
C++ API
Java API
.NET Client API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
JavaScriptC
C++
Go
Java
Perl
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresnonoView functions in JavaScriptnono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yesnone
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
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyesyes
User concepts infoAccess controlRole based access control and fine grained access rightsyesnonono
More information provided by the system vendor
MilvusObjectBoxPouchDBRocksDBSTSdb
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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