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DBMS > Kinetica vs. OmniSci vs. Realm

System Properties Comparison Kinetica vs. OmniSci vs. Realm

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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 comparisonRealm  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 GPUsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#199  Overall
#96  Relational DBMS
Score2.08
Rank#105  Overall
#51  Relational DBMS
Score7.92
Rank#44  Overall
#8  Document stores
Websitewww.kinetica.comwww.omnisci.comrealm.io
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestrealm.io/­docs
DeveloperKineticaMapD Technologies, Inc.Realm, acquired by MongoDB in May 2019
Initial release201220162014
Current release6.0V4
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source
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 CUDA
Server operating systemsLinuxLinuxAndroid
Backend: server-less
iOS
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functionsnono inforuns within the applications so server-side scripts are unnecessary
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnone
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 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 datayesyes
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 RAMyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardyes

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

Know How GPU Database Market Is Thriving Continuously by Top Key Players Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US), Brytlyt (UK), Blazegraph (US)
21 October 2019, Market Expert

GPU Database Market to Undertake Strapping Growth at +20% CAGR by the End 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
21 October 2019, Market Expert

Analytics Platform Kinetica Opens Regional Offices In Australia
21 October 2019, B&T

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

GPU Database Market 2019 Precise Outlook – Anaconda, NVIDIA, Brytlyt, Neo4j, Blazegraph, Kinetica, Fuzzy Logix
17 October 2019, marketresearchjournals

provided by Google News

GPU Database Market to Undertake Strapping Growth at +20% CAGR by the End 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
21 October 2019, Market Expert

Know How GPU Database Market Is Thriving Continuously by Top Key Players Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US), Brytlyt (UK), Blazegraph (US)
21 October 2019, Market Expert

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

Global GPU Database Market Explored In Latest Research | Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia
13 October 2019, 12 Minute Book

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

provided by Google News

Realm Makes PostgreSQL Real-Time with New Connector
21 March 2017, Database Trends and Applications

Realm Receives Investment from Ericsson Ventures to Advance Development of Edge Computing Solutions
21 September 2017, Business Wire

Realm explains the benefits of real-time collaboration for mobile apps
24 October 2016, App Developer Magazine

Realm Launches Realm Mobile Platform Professional Edition to Drive Collaborative Realtime Applications
12 December 2016, Business Wire

Realm Platform 2.0 Is Significant Step Forward for Building Responsive and Real-Time Mobile Applications
17 October 2017, Business Wire

provided by Google News

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