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DBMS > FeatureBase vs. Pinecone

System Properties Comparison FeatureBase vs. Pinecone

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A managed, cloud-native vector database
Primary database modelRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitewww.featurebase.comwww.pinecone.io
Technical documentationdocs.featurebase.comdocs.pinecone.io/­docs/­overview
DeveloperMolecula and Pilosa Open Source ContributorsPinecone Systems, Inc
Initial release20172019
Current release2022, May 2022
License infoCommercial or Open Sourcecommercialcommercial
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 languageGo
Server operating systemsLinux
macOS
hosted
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 SQLSQL queriesno
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
Python
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno

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More resources
FeatureBasePinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Get Your Infrastructure Ready for Real-Time Analytics
8 March 2022, Built In

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