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DBMS > Pinecone vs. RDFox vs. Yaacomo

System Properties Comparison Pinecone vs. RDFox vs. Yaacomo

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonRDFox  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA managed, cloud-native vector databaseHigh performance knowledge graph and semantic reasoning engineOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelVector DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#94  Overall
#2  Vector DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.pinecone.iowww.oxfordsemantic.techyaacomo.com
Technical documentationdocs.pinecone.io/­docs/­overviewdocs.oxfordsemantic.tech
DeveloperPinecone Systems, IncOxford Semantic TechnologiesQ2WEB GmbH
Initial release201920172009
Current release6.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
macOS
Windows
Android
Linux
Windows
Data schemeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateString, Number, Booleanyesyes
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 indexesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Supported programming languagesPythonC
Java
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file systemSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
PineconeRDFoxYaacomo
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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