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DBMS > Milvus vs. searchxml vs. Weaviate

System Properties Comparison Milvus vs. searchxml vs. Weaviate

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonsearchxml  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesDBMS for structured and unstructured content wrapped with an application serverAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelVector DBMSNative XML DBMS
Search engine
Vector 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
#7  Native XML DBMS
#25  Search engines
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitemilvus.iowww.searchxml.net/­category/­productsgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationmilvus.io/­docs/­overview.mdwww.searchxml.net/­support/­handoutsweaviate.io/­developers/­weaviate
Developerinformationpartners gmbhWeaviate B.V.
Initial release201920152019
Current release2.3.4, January 20241.01.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen 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++, GoC++Go
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Windows
Data schemeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes 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.noyesno
Secondary indexesnoyesyes 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 APIRESTful HTTP API
WebDAV
XQuery
XSLT
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes infoon the application serverno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerno
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.yesnoyes
User concepts infoAccess controlRole based access control and fine grained access rightsDomain, group and role-based access control at the document level and for application servicesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
MilvussearchxmlWeaviate
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
MilvussearchxmlWeaviate
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Recent citations in the news

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

AI-Powered Search Engine With Milvus Vector Database on Vultr
31 January 2024, SitePoint

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20 March 2024, GlobeNewswire

Zilliz Unveils Game-Changing Features for Vector Search
22 March 2024, Datanami

IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
9 April 2024, IBM

provided by Google News

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ...
24 January 2024, AWS Blog

Foley Represents Cortical Ventures in $50M Series B Round for Weaviate
17 December 2023, Foley & Lardner LLP

Weaviate Strengthens Partnership with AWS to Make it Easier for Developers to Build Generative AI Applications
16 November 2023, Datanami

Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases
18 July 2023, Towards Data Science

Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology ...
21 April 2023, PR Newswire

provided by Google News



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