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DBMS > Pinecone vs. Postgres-XL

System Properties Comparison Pinecone vs. Postgres-XL

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelVector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.13
Rank#88  Overall
#3  Vector DBMS
Score0.46
Rank#258  Overall
#120  Relational DBMS
Websitewww.pinecone.iowww.postgres-xl.org
Technical documentationdocs.pinecone.io/­docs/­overviewwww.postgres-xl.org/­documentation
DeveloperPinecone Systems, Inc
Initial release20192014 infosince 2012, originally named StormDB
Current release10 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public license
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
Server operating systemshostedLinux
macOS
Data schemeyes
Typing infopredefined data types such as float or dateString, Number, Booleanyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesPython.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCC
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
PineconePostgres-XL
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

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

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

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

Pinecone launches serverless edition of its vector database on AWS
21 May 2024, SiliconANGLE News

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