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DBMS > HEAVY.AI vs. Kinetica vs. NuoDB vs. openGauss vs. Transbase

System Properties Comparison HEAVY.AI vs. Kinetica vs. NuoDB vs. openGauss vs. Transbase

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonNuoDB  Xexclude from comparisonopenGauss  Xexclude from comparisonTransbase  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 CPUsNuoDB is a webscale distributed database that supports SQL and ACID transactionsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comwww.3ds.com/­nuodb-distributed-sql-databasegitee.com/­opengauss
opengauss.org
www.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.heavy.aidocs.kinetica.comdoc.nuodb.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.transaction.de/­en/­products/­transbase/­features.html
DeveloperHEAVY.AI, Inc.KineticaDassault Systèmes infooriginally NuoDB, Inc.Huawei and openGauss communityTransaction Software GmbH
Initial release20162012201320191987
Current release5.10, January 20227.1, August 20213.0, March 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial infolimited edition freeOpen Sourcecommercial infofree development license
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++C, C++, JavaC and C++
Server operating systemsLinuxLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesANSI SQL 2011yes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsJava, SQLyesyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyes infoManaged transparently by NuoDBSource-replica replicationSource-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infotunable commit protocolACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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 RAMyes infoTemporary tablenono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaNuoDBopenGaussTransbase
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