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DBMS > Drizzle vs. Kinetica vs. Netezza

System Properties Comparison Drizzle vs. Kinetica vs. Netezza

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.GPU-accelerated database for real-time analysis of large and streaming datasetsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score19.88
Rank#32  Overall
#20  Relational DBMS
Websitewww.kinetica.comwww.ibm.com/­analytics/­netezza
Technical documentationwww.kinetica.com/­docs
DeveloperDrizzle project, originally started by Brian AkerKineticaIBM
Initial release200820122000
Current release7.2.4, September 20126.0
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux infoincluded in appliance
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 extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelUsers with fine-grained authorization concept

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More resources
DrizzleKineticaNetezza infoAlso called PureData System for Analytics by IBM
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Recent citations in the news

The insideBIGDATA IMPACT 50 List for Q4 2019
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30 October 2018, Database Trends and Applications

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18 October 2019, India New England

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31 January 2019, Toolbox

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13 November 2018, Boston Business Journal

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