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DBMS > Drizzle vs. Kinetica vs. OmniSci vs. Trafodion

System Properties Comparison Drizzle vs. Kinetica vs. OmniSci vs. Trafodion

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonTrafodion  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 datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score2.74
Rank#103  Overall
#52  Relational DBMS
Score0.45
Rank#218  Overall
#104  Relational DBMS
Websitewww.kinetica.comwww.omnisci.comtrafodion.apache.org
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latesttrafodion.apache.org
DeveloperDrizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.Apache Software Foundation, originally developed by HP
Initial release2008201220162014
Current release7.2.4, September 20126.0V42.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C++ and CUDAC++, Java
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
JDBC
ODBC
ADO.NET
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnouser defined functionsnoJava Stored Procedures
Triggersno infohooks for callbacks inside the server can be used.yes 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 robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Trafodion
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Recent citations in the news

Smart Vending Machines Deliver On Data
29 July 2019, Forbes

Global GPU Database Market Research Strategies 2019 – Kinetica, Omnisci, Sqream, Nvidia
20 August 2019, Market Reports

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2025 | Kinetica, Omnisci, Sqream
31 July 2019, Daily Research Chronicle

GPU Database Market SWOT Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb
26 July 2019, PortNews24

GPU Database Market Size, Status and Forecast 2019-2025 | Omnisci, Sqream, Kinetica
24 July 2019, Market Analyst

provided by Google News

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

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2025 | Kinetica, Omnisci, Sqream
31 July 2019, Daily Research Chronicle

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26 July 2019, PortNews24

GPU Database Market Size, Status and Forecast 2019-2025 | Omnisci, Sqream, Kinetica
24 July 2019, Market Analyst

GPU Database Market Global Industry Growth, Historical Analysis, Size, Trends, Emerging Factors, Demands, Key Players, Emerging Technologies and Potential of Industry Till 2025
9 August 2019, Boston Life News

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The Apache® Software Foundation Announces Annual Report for 2019 Fiscal Year
13 August 2019, Yahoo Finance

Apache Releases Trafodion
29 March 2018, iProgrammer

Open Source at the ASF: A Year in Numbers
16 August 2019, Computer Business Review

Apache Trafodion becomes Top-Level Project
10 January 2018, SDTimes.com

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10 January 2018, GlobeNewswire

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Job opportunities

Technology Architect - Data Engineering
In-Q-Tel, Arlington, VA

Senior Backend Test Engineer
OmniSci, San Francisco, CA

Sales Director - Department of Defense
OmniSci, Washington, DC

jobs by Indeed




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