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DBMS > Kinetica vs. Oracle Rdb vs. Pinecone

System Properties Comparison Kinetica vs. Oracle Rdb vs. Pinecone

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitewww.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.pinecone.io
Technical documentationdocs.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.pinecone.io/­docs/­overview
DeveloperKineticaOracle, originally developed by Digital Equipment Corporation (DEC)Pinecone Systems, Inc
Initial release201219842019
Current release7.1, August 20217.4.1.1, 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++
Server operating systemsLinuxHP Open VMShosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)
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 SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Python
Server-side scripts infoStored proceduresuser defined functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single node
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 RAMnono
User concepts infoAccess controlAccess rights for users and roles on table level

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More resources
KineticaOracle RdbPinecone
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