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DBMS > Pinecone vs. ReductStore

System Properties Comparison Pinecone vs. ReductStore

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitewww.pinecone.iogithub.com/­reductstore
www.reduct.store
Technical documentationdocs.pinecone.io/­docs/­overviewwww.reduct.store/­docs
DeveloperPinecone Systems, IncReductStore LLC
Initial release20192023
Current release1.9, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License 1.1
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 languageC++, Rust
Server operating systemshostedDocker
Linux
macOS
Windows
Typing infopredefined data types such as float or dateString, Number, 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.no
SQL infoSupport of SQLno
APIs and other access methodsRESTful HTTP APIHTTP API
Supported programming languagesPythonC++
JavaScript (Node.js)
Python
Rust
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no

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More resources
PineconeReductStore
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the 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 launches serverless vector database on Azure, GCP
27 August 2024, TechTarget

Pinecone launches its serverless vector database out of preview
21 May 2024, TechCrunch

Pinecone Makes Accurate, Fast, Scalable Generative AI Accessible to Organizations Large and Small with Launch of its Serverless Vector Database
21 May 2024, PR Newswire

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