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DBMS > Milvus vs. STSdb vs. SwayDB vs. Vitess

System Properties Comparison Milvus vs. STSdb vs. SwayDB vs. Vitess

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonSTSdb  Xexclude from comparisonSwayDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelVector DBMSKey-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Score0.00
Rank#384  Overall
#60  Key-value stores
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitemilvus.iogithub.com/­STSSoft/­STSdb4swaydb.simer.auvitess.io
Technical documentationmilvus.io/­docs/­overview.mdvitess.io/­docs
DeveloperSTS Soft SCSimer PlahaThe Linux Foundation, PlanetScale
Initial release2019201120182013
Current release2.4.4, May 20244.0.8, September 201515.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license availableOpen Source infoGNU Affero GPL V3.0Open Source infoApache Version 2.0, commercial licenses available
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++, GoC#ScalaGo
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
WindowsDocker
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyes infoprimitive types and user defined types (classes)noyes
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
Secondary indexesnononoyes
SQL infoSupport of SQLnononoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP API.NET Client APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C#
Java
Java
Kotlin
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnononoyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of operationsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
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 rightsnonoUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
MilvusSTSdbSwayDBVitess
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.

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More resources
MilvusSTSdbSwayDBVitess
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

AI-Powered Search Engine With Milvus Vector Database on Vultr - SitePoint
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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale offers undo button to reverse schema migration without losing data
24 March 2022, The Register

CNCF’s Vitess Scales MySQL with the Help of Kubernetes
9 February 2018, The New Stack

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