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DBMS > Coveo vs. Pinecone vs. Yaacomo

System Properties Comparison Coveo vs. Pinecone vs. Yaacomo

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonPinecone  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA managed, cloud-native vector databaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelSearch engineVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitewww.coveo.comwww.pinecone.ioyaacomo.com
Technical documentationdocs.coveo.comdocs.pinecone.io/­docs/­overview
DeveloperCoveoPinecone Systems, IncQ2WEB GmbH
Initial release201220192009
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhostedAndroid
Linux
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyes
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 indexesyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
Python
Server-side scripts infoStored proceduresno
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standard

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More resources
CoveoPineconeYaacomo
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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