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DBMS > FeatureBase vs. Pinecone vs. TinkerGraph

System Properties Comparison FeatureBase vs. Pinecone vs. TinkerGraph

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonPinecone  Xexclude from comparisonTinkerGraph  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 databaseA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSVector DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#310  Overall
#139  Relational DBMS
Score3.13
Rank#88  Overall
#3  Vector DBMS
Score0.05
Rank#349  Overall
#35  Graph DBMS
Websitewww.featurebase.comwww.pinecone.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.featurebase.comdocs.pinecone.io/­docs/­overview
DeveloperMolecula and Pilosa Open Source ContributorsPinecone Systems, Inc
Initial release201720192009
Current release2022, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemsLinux
macOS
hosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesString, 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.nonono
Secondary indexesnono
SQL infoSupport of SQLSQL queriesnono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP APITinkerPop 3
Supported programming languagesJava
Python
PythonGroovy
Java
Server-side scripts infoStored proceduresno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integrityyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyes, using Linux fsyncyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlno

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More resources
FeatureBasePineconeTinkerGraph
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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