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DBMS > Kinetica vs. OmniSci vs. Sequoiadb

System Properties Comparison Kinetica vs. OmniSci vs. Sequoiadb

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Score0.32
Rank#233  Overall
#31  Document stores
#110  Relational DBMS
Websitewww.kinetica.comwww.omnisci.comwww.sequoiadb.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperKineticaMapD Technologies, Inc.Sequoiadb Ltd.
Initial release201220162013
Current release6.0V4
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoServer: AGPL; Client: Apache V2
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++C++ and CUDAC++
Server operating systemsLinuxLinuxLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regex
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoJavaScript
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoDocument is locked during a transaction
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 RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardsimple password-based access control
More information provided by the system vendor
KineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Sequoiadb
Specific characteristicsSequoiaDB is a financial-level distributed database including three storage modes:...
» more
Competitive advantagesSequoiaDB provides a leading OLTP solution in the industry, and perfectly addresses...
» more
Typical application scenariosAs a financial-level distributed database management system, SequoiaDB supports distributed...
» more
Key customersChina Minsheng Bank ​ Bank of China Hengfeng Bank China GUANGFA Bank PICC China Mobile...
» more
Market metrics2017,2018 Gartner’s Database Report Listed More than 1000 enterprise customers and...
» more
Licensing and pricing modelsOpen source GPL/Commercial licensing for enterprise version and services
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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

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

Field Report: GPU Technology Conference 2019 #GTC19
4 April 2019, insideBIGDATA

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
28 March 2019, Market Reports

Kinetica Could Boost Nvidia In $70B Big Data Market
12 October 2018, Forbes

Kinetica Delivers GPU-Accelerated Analytics Engine to SoftBank
1 November 2018, Business Wire

provided by Google News

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

New Data Science Platforms Highlight Nvidia's GPU Conference
25 March 2019, eWeek

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
28 March 2019, Market Reports

Graphics Processing Unit Database Market Growing Demand and Trends 2019 to 2028
11 April 2019, The Smart CMS

OmniSci, formerly MapD, gets $55 million in series C funding
4 October 2018, Packt Hub

provided by Google News

SequoiaDB 3.0 Released, New-Generation Multi-Model NewSQL Database
25 June 2018, PR Newswire

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3 February 2019, Forbes

Cloud Native Computing Foundation Surpasses 375 Members
12 March 2019, PRNewswire

Spark in Action Book Review & Interview
18 March 2016, InfoQ.com

High school all-league football teams
6 January 2009, San Jose Mercury News

provided by Google News

Job opportunities

Sr. Solutions Engineer (West Coast)
Kinetica DB, Seattle, WA

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OmniSci, Remote

Support Engineer - (NYC or Washington DC)
OmniSci, Remote

Support Engineer - (NYC or Washington DC)
OmniSci, Washington, DC

Support Engineer (San Francisco/Bay Area)
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