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DBMS > Drizzle vs. HEAVY.AI vs. Kinetica vs. openGauss vs. Trafodion

System Properties Comparison Drizzle vs. HEAVY.AI vs. Kinetica vs. openGauss vs. Trafodion

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonopenGauss  Xexclude from comparisonTrafodion  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiTransactional SQL-on-Hadoop DBMS
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
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comgitee.com/­opengauss
opengauss.org
trafodion.apache.org
Technical documentationdocs.heavy.aidocs.kinetica.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
trafodion.apache.org/­documentation.html
DeveloperDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.KineticaHuawei and openGauss communityApache Software Foundation, originally developed by HP
Initial release20082016201220192014
Current release7.2.4, September 20125.10, January 20227.1, August 20213.0, March 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availablecommercialOpen SourceOpen Source infoApache 2.0
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++C++ and CUDAC, C++C, C++, JavaC++, Java
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxLinuxLinux
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.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like DML and DDL statementsANSI SQL 2011yes
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonouser defined functionsyesJava Stored Procedures
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinShardinghorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
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 RAMnono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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