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DBMS > Kinetica vs. Netezza vs. OmniSci

System Properties Comparison Kinetica vs. Netezza vs. OmniSci

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Editorial information provided by DB-Engines
NameKinetica  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
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsData 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
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score19.88
Rank#32  Overall
#20  Relational DBMS
Score2.08
Rank#105  Overall
#52  Relational DBMS
Websitewww.kinetica.comwww.ibm.com/­analytics/­netezzawww.omnisci.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperKineticaIBMMapD Technologies, Inc.
Initial release201220002016
Current release6.0V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
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++ and CUDA
Server operating systemsLinuxLinux 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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
JDBC
ODBC
OLE DB
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-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 or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
KineticaNetezza infoAlso called PureData System for Analytics by IBMOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

The insideBIGDATA IMPACT 50 List for Q4 2019
15 October 2019, insideBIGDATA

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

GPU Database Market 2019 Precise Outlook – Anaconda, NVIDIA, Brytlyt, Neo4j, Blazegraph, Kinetica, Fuzzy Logix
17 October 2019, marketresearchjournals

Applying Active Analytics To Dynamic Replenishment
10 October 2019, Forbes

Moving from passive to active analytics for data innovation: the use cases
15 October 2019, Information Age

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RIP Netezza, IBM’s FPGA-powered data warehousing dream
3 July 2019, The Register

INDIA New England News
18 October 2019, India New England

Breaking through Netezza End-of-Life
30 October 2018, Database Trends and Applications

Netezza SQL: GROUP_CONCAT, REPLACE and the Data Sampling Trick
31 January 2019, Toolbox

Data storage startup ClearSky raises $20M, signs major partnership
13 November 2018, Boston Business Journal

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GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

GPU Database Market 2019 Precise Outlook – Anaconda, NVIDIA, Brytlyt, Neo4j, Blazegraph, Kinetica, Fuzzy Logix
17 October 2019, marketresearchjournals

Emerging Growth on GPU Database Market 2019-2026: Leading Companies like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
26 September 2019, Market Research Scoop

Huge Demands for New Opportunities on Graphics Processing Unit Database Market 2028 Forecasts and Analysis with Top Key Players like – Zilliz, Brytlyt, Jedox AG, OmniSci
7 October 2019, Sound On Sound Fest

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