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DBMS > Kuzu vs. Pinecone

System Properties Comparison Kuzu vs. Pinecone

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Our visitors often compare Kuzu and Pinecone with Neo4j, RethinkDB and DuckDB.

Editorial information provided by DB-Engines
NameKuzu  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn embeddable property Graph DBMS built for query speed and scalabilityA managed, cloud-native vector database
Primary database modelGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#367  Overall
#38  Graph DBMS
Score3.20
Rank#81  Overall
#5  Vector DBMS
Websitekuzudb.comwww.pinecone.io
Technical documentationdocs.kuzudb.comdocs.pinecone.io/­docs/­overview
DeveloperPinecone Systems, Inc
Initial release20222019
Current release0.4.2, May 2024
License infoCommercial or Open SourceOpen Source infoMIT licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsserver-lesshosted
Data schemeyes
Typing infopredefined data types such as float or dateyesString, 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.nono
Secondary indexesno
SQL infoSupport of SQLnono
APIs and other access methodsCLI Client
Cypher Query Language
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript
Python
Rust
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
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.nono
User concepts infoAccess controlno

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More resources
KuzuPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

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 Revamps Retrieval Capabilities for Its Vector Database Platform
2 December 2024, The New Stack

First-of-its-kind Pinecone Knowledge Platform to Power Best-in-class Retrieval for Customers
3 December 2024, PR Newswire

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

provided by Google News



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