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DBMS > Milvus vs. Pinecone vs. Weaviate

System Properties Comparison Milvus vs. Pinecone vs. Weaviate

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonPinecone  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA managed, cloud-native vector databaseAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelVector DBMSVector DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.90
Rank#87  Overall
#7  Vector DBMS
Score3.34
Rank#77  Overall
#6  Vector DBMS
Score1.86
Rank#123  Overall
#11  Vector DBMS
Websitemilvus.iowww.pinecone.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationmilvus.io/­docs/­overview.mddocs.pinecone.io/­docs/­overviewweaviate.io/­developers/­weaviate
DeveloperPinecone Systems, IncWeaviate B.V.
Initial release201920192019
Current release2.4.4, May 20241.19, 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 servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, GoGo
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateVector, Numeric and StringString, Number, Booleanyes 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 indexesnoyes 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 APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
PythonJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
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
Eventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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 rightsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
MilvusPineconeWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate 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
MilvusPineconeWeaviate
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Recent citations in the news

What Is Milvus? A Distributed Vector Database
3 March 2025, Oracle

Milvus 2.5 Creates the Best of Both Worlds With Hybrid Vector-Keyword Search
17 December 2024, GlobeNewswire

AI-Powered Search Engine With Milvus Vector Database on Vultr
7 November 2024, SitePoint

Hands-On Vector Similarity Search with Milvus
20 October 2024, Packt

Dance between dense and sparse embeddings: Enabling Hybrid Search in LangChain-Milvus
19 November 2024, Towards Data Science

provided by Google News

Pinecone turns unstructured data into knowledgeable intel for developers with Microsoft Azure
2 April 2025, Microsoft

Pinecone expands vector database with cascading retrieval, boosting enterprise AI accuracy by up to 48%
2 December 2024, VentureBeat

Pinecone integrates AI inferencing with vector database
2 December 2024, Blocks and Files

Pinecone Named to Fast Company's Annual List of the World's Most Innovative Companies of 2025
18 March 2025, PR Newswire

Pinecone Revamps Vector Database Architecture for AI Apps
27 February 2025, The New Stack

provided by Google News

Learn how Oracle tops Weaviate for vector search scalability, availability
18 March 2025, Oracle

Weaviate unveils three AI vector database agents
6 March 2025, Blocks and Files

Video: How Weaviate Is Revolutionizing Search With AI
5 March 2025, Channel Insider

Weaviate adds agents to its tech stack to ease gen AI app development
11 March 2025, InfoWorld

Vector database startup Weaviate debuts ‘AI workbench’ and flexible storage tiers
30 July 2024, SiliconANGLE

provided by Google News



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