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DBMS > Pinecone vs. Weaviate

System Properties Comparison Pinecone vs. Weaviate

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelVector DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.37
Rank#103  Overall
#2  Vector DBMS
Score2.08
Rank#143  Overall
#4  Vector DBMS
Websitewww.pinecone.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.pinecone.io/­docs/­overviewweaviate.io/­developers/­weaviate
DeveloperPinecone Systems, IncWeaviate B.V.
Initial release20192019
Current release1.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshosted
Data schemeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateString, 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.nono
Secondary indexesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoGraphQL is used as query language
APIs and other access methodsRESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesPythonJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
PineconeWeaviate
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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More resources
PineconeWeaviate
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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Recent citations in the news

Pinecone Introduces its Serverless Vector Database
3 February 2024, InfoQ.com

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

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14 July 2023, VentureBeat

Pinecone's CEO is on a quest to give AI something like knowledge
28 December 2023, ZDNet

Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

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8 February 2024, Datanami

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21 April 2023, PR Newswire

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9 February 2024, AiThority

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

An Honest Comparison of Open Source Vector Databases
2 November 2023, KDnuggets

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