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DBMS > Drizzle vs. Kinetica vs. OmniSci vs. searchxml

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

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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 comparisonsearchxml  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 GPUsDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSRelational DBMSRelational DBMSNative XML DBMS
Search engine
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
Score0.05
Rank#326  Overall
#7  Native XML DBMS
#15  Search engines
Websitewww.kinetica.comwww.omnisci.comwww.searchxml.net/­category/­products
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestwww.searchxml.net/­support/­handouts
DeveloperDrizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.informationpartners gmbh
Initial release2008201220162015
Current release7.2.4, September 20126.0V41.0
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++ and CUDAC++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxWindows
Data schemeyesyesyesschema-free
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.nonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoon the application server
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 robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonomultiple readers, single writer
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-standardDomain, group and role-based access control at the document level and for application services

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

Smart Vending Machines Deliver On Data
29 July 2019, Forbes

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

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

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

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

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

provided by Google News

Job opportunities

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

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OmniSci, San Francisco, CA

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OmniSci, Washington, DC

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