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DBMS > Drizzle vs. Netezza vs. openGemini vs. TempoIQ

System Properties Comparison Drizzle vs. Netezza vs. openGemini vs. TempoIQ

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonopenGemini  Xexclude from comparisonTempoIQ infoformerly TempoDB  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.TempoIQ seems to be decommissioned. It will be removed 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 open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Websitewww.ibm.com/­products/­netezzawww.opengemini.org
github.com/­openGemini
tempoiq.com (offline)
Technical documentationdocs.opengemini.org/­guide
DeveloperDrizzle project, originally started by Brian AkerIBMHuawei and openGemini communityTempoIQ
Initial release2008200020222012
Current release7.2.4, September 20121.1, July 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemsFreeBSD
Linux
OS X
Linux infoincluded in applianceLinux
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like query languageno
APIs and other access methodsJDBCJDBC
ODBC
OLE DB
HTTP RESTHTTP API
Supported programming languagesC
C++
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoyesnono
Triggersno infohooks for callbacks inside the server can be used.nonoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization conceptAdministrators and common users accountssimple authentication-based access control

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More resources
DrizzleNetezza infoAlso called PureData System for Analytics by IBMopenGeminiTempoIQ infoformerly TempoDB
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Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

AWS and IBM Netezza come out in support of Iceberg in table format face-off
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Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
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Netezza Performance Server
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