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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 storesA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#190  Overall
#94  Relational DBMS
Score408.07
Rank#5  Overall
#1  Document stores
Score2.69
Rank#98  Overall
#49  Relational DBMS
Websitewww.kinetica.comwww.mongodb.comwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.mongodb.com/­manualwww.omnisci.com/­docs/­latest
DeveloperKineticaMongoDB, IncMapD Technologies, Inc.
Initial release201220092016
Current release6.04.0.8, March 2019V4
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

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MongoDB Atlas: Deploy a fully managed cloud database in minutes.
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 methodsRESTful HTTP API
JDBC
ODBC
proprietary protocol using JSONThrift
JDBC
ODBC
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 infoinofficial driver
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 rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding 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 next-generation database that helps businesses transform their industries...
» more
Competitive advantagesBy offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosInternet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Barclays, BBVA, Bond, Bosch, Cisco, CERN, City...
» more
Market metrics40 million downloads (growing at 30 thousand downloads per day). 6,600+ customers....
» more
Licensing and pricing modelsMongoDB database server: Free Software Foundation's GNU AGPL v3.0. Commercial licenses...
» 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
KineticaMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Recent citations in the news

Kronva Ltd Signs Strategic Partnership Agreement with Kinetica
2 May 2019, Pro News Report

Review: Kinetica analyzes billions of rows in real time
29 April 2019, InfoWorld

GPU Database Market Trends 2019 and Industry Forecast 2023
13 May 2019, Market Reporter

New Trending Report on GPU Database Market with high CAGR In Coming Years with Focusing Key players like Kinetica,Omnisci,Sqream,Neo4j,Nvidia,Brytlyt,Jedox,Blazegraph,Blazingdb,Zilliz,Heterodb,H2o.Ai,Fastdata.Io,Fuzzy Logix,Graphistry,Anaconda, ,etc
30 April 2019, Market Research Updates

Nvidia (NVDA) Market Value Declined While Fairfield Bush & Company Has Boosted Holding by $532,000; As Companhia Brasileira De Dist (CBD) Market Value Rose, Shareholder Inca Investments Decreased by $3.45 Million Its Position
21 May 2019, The EN Herald

provided by Google News

6 keys to MongoDB database security
22 May 2019, InfoWorld

12,000+ unsecured MongoDB databases deleted by Unistellar attackers
21 May 2019, Security Boulevard

Over 12,000 MongoDB Databases Deleted by Unistellar Attackers
17 May 2019, BleepingComputer

Thousands of MongoDB databases deleted in cyber-extortion attacks
21 May 2019, TechGenix

MongoDB to acquire open-source mobile database Realm for $39 million
24 April 2019, TechCrunch

provided by Google News

OmniSci Hires Laura Craig as Vice President of Sales, Americas
23 April 2019, PRNewswire

GPU Database Market is Booming Worldwide | Kinetica, Omnisci, Sqream, Neo4j
29 April 2019, openPR

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

GPU Database Market Trends 2019 and Industry Forecast 2023
13 May 2019, Market Reporter

International Graphics Processing Unit Database Market Economic Growth,Dynamics,SWOT Analysis,Benchmarking And Forecast Till 2028. - All
22 May 2019, Marketing Strategy

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Job opportunities

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