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DBMS > Pinecone vs. Prometheus

System Properties Comparison Pinecone vs. Prometheus

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseOpen-source Time Series DBMS and monitoring system
Primary database modelVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.13
Rank#88  Overall
#3  Vector DBMS
Score7.33
Rank#51  Overall
#3  Time Series DBMS
Websitewww.pinecone.ioprometheus.io
Technical documentationdocs.pinecone.io/­docs/­overviewprometheus.io/­docs
DeveloperPinecone Systems, Inc
Initial release20192015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
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 systemshostedLinux
Windows
Data schemeyes
Typing infopredefined data types such as float or dateString, Number, BooleanNumeric data only
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 infoImport of XML data possible
Secondary indexesno
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON API
Supported programming languagesPython.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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 infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
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.nono
User concepts infoAccess controlno

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

Pinecone Makes Accurate, Fast, Scalable Generative AI Accessible to Organizations Large and Small with Launch of its Serverless Vector Database
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OpenTelemetry vs. Prometheus: You can’t fix what you can’t see
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Consider Grafana vs. Prometheus for your time-series tools
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