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DBMS > Milvus vs. Riak KV vs. Weaviate

System Properties Comparison Milvus vs. Riak KV vs. Weaviate

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonRiak KV  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesDistributed, fault tolerant key-value storeAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelVector DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitemilvus.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationmilvus.io/­docs/­overview.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latestweaviate.io/­developers/­weaviate
DeveloperOpenSource, formerly Basho TechnologiesWeaviate B.V.
Initial release201920092019
Current release2.3.4, January 20243.2.0, December 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
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++, GoErlangGo
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Data schemeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateVector, Numeric and Stringnoyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesnorestrictedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoGraphQL is used as query language
APIs and other access methodsRESTful HTTP APIHTTP API
Native Erlang Interface
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoErlangno
Triggersnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole based access control and fine grained access rightsyes, using Riak SecurityAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
MilvusRiak KVWeaviate
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
All companies that have data. ​
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
MilvusRiak KVWeaviate
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Recent citations in the news

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
26 March 2024, The New Stack

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31 January 2024, SitePoint

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26 August 2018, InfoQ.com

Riak NoSQL snapped up by Bet365
12 September 2017, ComputerWeekly.com

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28 November 2013, DatacenterDynamics

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