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DBMS > Drizzle vs. Netezza vs. OmniSci

System Properties Comparison Drizzle vs. Netezza vs. OmniSci

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  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 PureSystemsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.33
Rank#30  Overall
#18  Relational DBMS
Score1.80
Rank#109  Overall
#54  Relational DBMS
Websitewww.ibm.com/­analytics/­netezzawww.omnisci.com
Technical documentationwww.omnisci.com/­docs/­latest
DeveloperDrizzle project, originally started by Brian AkerIBMMapD Technologies, Inc.
Initial release200820002016
Current release7.2.4, September 2012V4
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition available
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++ and CUDA
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 indexesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyesyes
APIs and other access methodsJDBCJDBC
ODBC
OLE DB
Thrift
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyesno
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationMaster-master 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 integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
DrizzleNetezza infoAlso called PureData System for Analytics by IBMOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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1 April 2019, InfoWorld

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