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DBMS > Dgraph vs. Kinetica vs. Pinecone

System Properties Comparison Dgraph vs. Kinetica vs. Pinecone

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonKinetica  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSFully vectorized database across both GPUs and CPUsA managed, cloud-native vector database
Primary database modelGraph DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score3.29
Rank#94  Overall
#2  Vector DBMS
Websitedgraph.iowww.kinetica.comwww.pinecone.io
Technical documentationdgraph.io/­docsdocs.kinetica.comdocs.pinecone.io/­docs/­overview
DeveloperDgraph Labs, Inc.KineticaPinecone Systems, Inc
Initial release201620122019
Current release7.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++
Server operating systemsLinux
OS X
Windows
Linuxhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyesString, 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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Python
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users and roles on table level

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More resources
DgraphKineticaPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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