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DBMS > Kinetica vs. MongoDB vs. OmniSci

System Properties Comparison Kinetica vs. MongoDB vs. OmniSci

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMongoDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#197  Overall
#95  Relational DBMS
Score437.08
Rank#5  Overall
#1  Document stores
Score1.98
Rank#117  Overall
#55  Relational DBMS
Websitewww.kinetica.comwww.mongodb.comwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.mongodb.com/­manualdocs.omnisci.com/­latest
DeveloperKineticaMongoDB, IncMapD Technologies, Inc.
Initial release201220092016
Current release6.04.2.7, May 2020V4
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC, C++C++C++ and CUDA
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
Data schemeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONJDBC
ODBC
Thrift
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsJavaScriptno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
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 infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
KineticaMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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

GPU Database Market Opportunity Analysis and Industry Forecast 2028 | Kinetica, OmniSci,SQream , Neo4j ,...
4 June 2020, Azizsalon News

GPU Database Market Size (COVID-19 Impact) 2020-26: Kinetica DB, OmniSci, Neo4j
1 June 2020, Bandera County Courier

Global GPU Database Market Projected to Reach USD XX.XX billion by 2025- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, etc.
22 May 2020, Cole of Duty

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2 June 2020, Yahoo Finance

MongoDB, Inc. to Present at the Stifel 2020 Cross Sector Insight Conference and the William Blair 40th Annual Growth Stock Conference
2 June 2020, PRNewswire

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1 June 2020, Yahoo Finance

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25 May 2020, The Motley Fool

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The GPU Database Evolves Into An Analytics Platform
28 May 2020, The Next Platform

Rising Opportunities in GPU Database Market | • Neo4j • Anaconda • NVIDIA • Blazegraph • OmniSci
29 May 2020, Cole of Duty

GPU Database Market Size (COVID-19 Impact) 2020-26: Kinetica DB, OmniSci, Neo4j
1 June 2020, Bandera County Courier

Global GPU Database Market Projected to Reach USD XX.XX billion by 2025- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, etc.
22 May 2020, Cole of Duty

GPU Database Market Size, Analysis, Top Key Vendors, Industry Growth, Opportunity and Forecast By 2027
2 June 2020, 3rd Watch News

provided by Google News

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