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DBMS > HEAVY.AI vs. Kinetica vs. Oracle Rdb vs. Quasardb vs. SiteWhere

System Properties Comparison HEAVY.AI vs. Kinetica vs. Oracle Rdb vs. Quasardb vs. SiteWhere

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Rdb  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparison
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 CPUsDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlquasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationdocs.heavy.aidocs.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperHEAVY.AI, Inc.KineticaOracle, originally developed by Digital Equipment Corporation (DEC)quasardbSiteWhere
Initial release20162012198420092010
Current release5.10, January 20227.1, August 20217.4.1.1, 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC, C++C++Java
Server operating systemsLinuxLinuxHP Open VMSBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nonononono
Secondary indexesnoyesyesyes infowith tagsno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
HTTP APIHTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationSource-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMnoyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaOracle RdbQuasardbSiteWhere
Recent citations in the news

Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19 September 2024, Unite.AI

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
15 August 2024, Center for Data Innovation

HEAVY.AI Accelerates Big Data Analytics with Vultr's High-Performance GPU Cloud Infrastructure
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HEAVY.AI Accelerates Big Data Analytics with Vultr’s High-Performance GPU Cloud Infrastructure
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21 March 2024, insideBIGDATA

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica: AI is a ‘killer app’ for data analytics
2 May 2023, Blocks & Files

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20 February 2024, EarthSky

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15 December 2023, Phys.org

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5 April 2023, Science@NASA

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SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

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9 March 2023, H2S Media

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