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DBMS > ArangoDB vs. Kinetica vs. OmniSci

System Properties Comparison ArangoDB vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionA multi-model DBMSGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelDocument store
Graph DBMS
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#63  Overall
#10  Document stores
#4  Graph DBMS
#10  Key-value stores
Score0.58
Rank#192  Overall
#96  Relational DBMS
Score2.55
Rank#92  Overall
#47  Relational DBMS
Websitewww.arangodb.comwww.kinetica.comwww.omnisci.com
Technical documentationwww.arangodb.com/­documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperArangoDB GmbH / triagens GmbHKineticaMapD Technologies, Inc.
Initial release201220122016
Current release3.4.0, December 20186.0V4
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2; enterprise edition available
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++, JavaScriptC, C++C++ and CUDA
Server operating systemsLinux
OS X
Raspbian
Solaris
Windows
LinuxLinux
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes
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 SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP API
JSON style queries
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJavaScriptuser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingSharding 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 methodsno infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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 RAMyes
User concepts infoAccess controlyesAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
ArangoDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
News

RC3 ArangoDB 3.5: SmartJoins & Index Hints
4 June 2019

RC2 ArangoDB 3.5: Data Masking & Time-to-Live Index
24 May 2019

ArangoDB 3.5 RC1: Graph Database Improvements with PRUNE & k Shortest Paths
16 May 2019

What Makes ArangoDB a Graph Database?
18 April 2019

Building HIPAA Compliant Applications With ArangoDB
5 April 2019

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More resources
ArangoDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

show all

Recent citations in the news

ArangoDB raises $10 million for NoSQL database management
14 March 2019, VentureBeat

Global Graph Database 2019 Market Share, Trends, Segmentation and Forecast to 2025
15 June 2019, Market Reporter

ArangoDB NoSQL database platform updates to 3.4 | ADM
6 December 2018, App Developer Magazine

NoSQL Databases Software Market, Share, Application Analysis, Regional Outlook, Competitive Strategies & Forecast up to 2025
14 June 2019, Market Trends

Graph Database Market foreseen to grow exponentially over 2027
11 June 2019, Wiki Times

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GPU database Market to Witness a Pronounce Growth during 2017-2026
15 June 2019, Market Research Gazette

Kinetica Appoints Elizabeth McGlauflin as Chief Customer Success Officer
6 June 2019, MarTech Advisor

Kinetica Hires New Chief Customer Success Officer in Response to Triple Digit Growth Across Global Install-Base and Adoption by Major Global 2000 Brands
5 June 2019, Business Wire

Global GPU Database Market to Witness Heightened Revenue Growth During the Forecast Period 2026
12 June 2019, B2B News Updates

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

provided by Google News

OmniSci enters EMEA market to push high-speed cloud analytics
31 May 2019, Data Economy

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

Salesforce buys big data firm Tableau for $15.7bn in its biggest ever acquisition
10 June 2019, Data Economy

Global GPU Database Market to Witness Heightened Revenue Growth During the Forecast Period 2026
12 June 2019, B2B News Updates

The FA selects Google Cloud to embark on its football digital transformation journey
31 May 2019, Data Economy

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