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DBMS > Kinetica vs. OmniSci vs. Sphinx

System Properties Comparison Kinetica vs. OmniSci vs. Sphinx

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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 comparisonSphinx  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 GPUsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSSearch engine
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
Score6.97
Rank#46  Overall
#5  Search engines
Websitewww.kinetica.comwww.omnisci.comsphinxsearch.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestsphinxsearch.com/­docs
DeveloperKineticaMapD Technologies, Inc.Sphinx Technologies Inc.
Initial release201220162001
Current release6.0V43.0.2, February 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL version 2, commercial licence 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 CUDAC++
Server operating systemsLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
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 infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replicationnone
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 Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 levelfine grained access rights according to SQL-standardno

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

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

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

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Review: OmniSci GPU database lifts huge data sets
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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

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