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DBMS > HEAVY.AI vs. Kinetica vs. OpenQM vs. Pinecone vs. Yanza

System Properties Comparison HEAVY.AI vs. Kinetica vs. OpenQM vs. Pinecone vs. Yanza

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPinecone  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMSA managed, cloud-native vector databaseTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSVector DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.pinecone.ioyanza.com
Technical documentationdocs.heavy.aidocs.kinetica.comdocs.pinecone.io/­docs/­overview
DeveloperHEAVY.AI, Inc.KineticaRocket Software, originally Martin PhillipsPinecone Systems, IncYanza
Initial release20162012199320192015
Current release5.10, January 20227.1, August 20213.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoGPLv2, extended commercial license availablecommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononoyesno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC, C++
Server operating systemsLinuxLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hostedWindows
Data schemeyesyesyes infowith some exceptionsschema-free
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanno
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.nonoyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Pythonany language that supports HTTP calls
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelAccess rights can be defined down to the item levelno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaOpenQM infoalso called QMPineconeYanza
DB-Engines blog posts

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Recent citations in the news

HEAVY.AI: The Fastest Analytics and Location Intelligence Platform
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