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DBMS > Kinetica vs. OmniSci vs. Quasardb

System Properties Comparison Kinetica vs. OmniSci vs. Quasardb

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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 comparisonQuasardb  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 GPUsDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSTime Series 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
Score0.12
Rank#266  Overall
#20  Time Series DBMS
Websitewww.kinetica.comwww.omnisci.comwww.quasardb.net
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestdoc.quasardb.net
DeveloperKineticaMapD Technologies, Inc.quasardb
Initial release201220162009
Current release6.0V43.1, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 systemsLinuxLinuxBSD
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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 infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsnono
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 infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replicationMaster-slave replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail
More information provided by the system vendor
KineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Quasardb
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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

GPU Database Market is Growing Gloriously at a CAGR of +20% over Period 2019- 2026 with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
23 April 2019, Global Market Research

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
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GPU Database Market is Growing Gloriously at a CAGR of +20% over Period 2019- 2026 with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
23 April 2019, Global Market Research

New Data Science Platforms Highlight Nvidia's GPU Conference
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Job opportunities

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

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

Support Engineer (San Francisco/Bay Area)
OmniSci, San Jose, CA

Community Developer Advocate - INTERN
OmniSci, San Francisco, CA

Support Engineer (San Francisco/Bay Area)
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jobs by Indeed




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