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DBMS > Milvus vs. Pinecone vs. Qdrant

System Properties Comparison Milvus vs. Pinecone vs. Qdrant

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonPinecone  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA managed, cloud-native vector databaseA high-performance vector database with neural network or semantic-based matching
Primary database modelVector DBMSVector DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#90  Overall
#5  Vector DBMS
Score3.06
Rank#87  Overall
#4  Vector DBMS
Score1.69
Rank#136  Overall
#8  Vector DBMS
Websitemilvus.iowww.pinecone.iogithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationmilvus.io/­docs/­overview.mddocs.pinecone.io/­docs/­overviewqdrant.tech/­documentation
DeveloperPinecone Systems, IncQdrant
Initial release201920192021
Current release2.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoRust
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hostedDocker
Linux
macOS
Windows
Data schemeschema-free
Typing infopredefined data types such as float or dateVector, Numeric and StringString, Number, BooleanNumbers, Strings, Geo, Boolean
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 infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Python.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replication
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, tunable consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
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 rightsKey-based authentication
More information provided by the system vendor
MilvusPineconeQdrant
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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More resources
MilvusPineconeQdrant
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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2 June 2023, Matthias Gelbmann

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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

10 top vector database options for similarity searches
8 August 2024, TechTarget

Milvus in 2023: Open Source Vector Database Year in Review
19 January 2024, The New Stack

Using Evaluations to Optimize a RAG Pipeline: from Chunkings and Embeddings to LLMs
9 July 2024, Towards Data Science

provided by Google News

Pinecone serverless goes multicloud as vector database market heats up
27 August 2024, VentureBeat

Using the Pinecone vector database in .NET
12 September 2024, InfoWorld

Pinecone vector database available on AWS, Azure, and Google clouds
27 August 2024, Blocks & Files

Getting your generative AI pilot ready for production
7 October 2024, AWS Blog

Pinecone launches serverless vector database on Azure, GCP
27 August 2024, TechTarget

provided by Google News

Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, Business Wire

Qdrant unveils hybrid vector algorithm for improved RAG
2 July 2024, Blocks & Files

Qdrant Introduces BM42: Hybrid Search For Enhanced RAG
6 July 2024, Forbes

provided by Google News



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