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DBMS > Pinecone vs. Tkrzw

System Properties Comparison Pinecone vs. Tkrzw

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#94  Overall
#2  Vector DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitewww.pinecone.iodbmx.net/­tkrzw
Technical documentationdocs.pinecone.io/­docs/­overview
DeveloperPinecone Systems, IncMikio Hirabayashi
Initial release20192020
Current release0.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
macOS
Data schemeschema-free
Typing infopredefined data types such as float or dateString, Number, Booleanno
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
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP API
Supported programming languagesPythonC++
Java
Python
Ruby
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
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 infousing specific database classes
User concepts infoAccess controlno

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More resources
PineconeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
DB-Engines blog posts

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Recent citations in the news

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

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14 July 2023, VentureBeat

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

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21 March 2024, AWS Blog

Pinecone's vector database goes serverless
16 January 2024, SiliconANGLE News

provided by Google News



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