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DBMS > Drizzle vs. Netezza vs. openGauss

System Properties Comparison Drizzle vs. Netezza vs. openGauss

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonopenGauss  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Data warehouse and analytics appliance part of IBM PureSystemsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitewww.ibm.com/­products/­netezzagitee.com/­opengauss
opengauss.org
Technical documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperDrizzle project, originally started by Brian AkerIBMHuawei and openGauss community
Initial release200820002019
Current release7.2.4, September 20123.0, March 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++, Java
Server operating systemsFreeBSD
Linux
OS X
Linux infoincluded in applianceLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesANSI SQL 2011
APIs and other access methodsJDBCJDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Java
Server-side scripts infoStored proceduresnoyesyes
Triggersno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.no
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
DrizzleNetezza infoAlso called PureData System for Analytics by IBMopenGauss
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Recent citations in the news

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31 May 2024, Data Center Knowledge

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1 August 2023, The Register

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime | Amazon Web Services
21 August 2019, AWS Blog

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1 July 2020, huawei.com

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12 January 2024, มหาวิทยาลัยธรรมศาสตร์

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30 September 2020, huawei.com

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