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DBMS > Drizzle vs. Kinetica vs. ObjectBox vs. OmniSci

System Properties Comparison Drizzle vs. Kinetica vs. ObjectBox vs. OmniSci

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonObjectBox  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GPU-accelerated database for real-time analysis of large and streaming datasetsExtremely fast embedded database for small devices, IoT and MobileA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score0.51
Rank#205  Overall
#11  Object oriented DBMS
Score2.74
Rank#103  Overall
#52  Relational DBMS
Websitewww.kinetica.comobjectbox.iowww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.objectbox.iowww.omnisci.com/­docs/­latest
DeveloperDrizzle project, originally started by Brian AkerKineticaObjectBox LimitedMapD Technologies, Inc.
Initial release2008201220172016
Current release7.2.4, September 20126.0V4
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C and C++C++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
LinuxAndroid
iOS
Linux
macOS
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
Proprietary native APIThrift
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C
Go
Java
JavaScript infoplanned (as of Jan 2019)
Python infoplanned (as of Jan 2019)
Swift
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationnoneMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelyesfine grained access rights according to SQL-standard
More information provided by the system vendor
DrizzleKineticaObjectBoxOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
News

billiger.de Mobile App Case Study
14 August 2019

ObjectBox Swift Binding Open Sourced
22 July 2019

ObjectBox Go 1.0 release and performance benchmarks
16 July 2019

App Bundle and Sideloading: how to prevent crashes
15 July 2019

Edge Computing Case Study with easyGOband: How ObjectBox enables compatibility from Android, iOS, and Raspbian to Linux
1 July 2019

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

Smart Vending Machines Deliver On Data
29 July 2019, Forbes

Global GPU Database Market Revenue Strategy 2019-2024 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
21 August 2019, Tribune City

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2025 | Kinetica, Omnisci, Sqream
31 July 2019, Daily Research Chronicle

Global GPU Database Market Research Strategies 2019 – Kinetica, Omnisci, Sqream, Nvidia
20 August 2019, Market Reports

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

provided by Google News

Munich-founded database startup ObjectBox raises $2 million
3 December 2018, Tech.eu

Europe Start-up 100: 25 IoT and hardware start-ups to watch in 2019
23 January 2019, Siliconrepublic.com

‘Women Startup Challenge’ comes to Paris hoping to reverse decline in venture capital raised by women
23 October 2018, VentureBeat

Exploring Couchbase Mobile on Android: CRUD
4 July 2016, DZone News

60 Women-Led Startups That Are Shaking Up Tech Across The Globe
19 September 2018, Forbes

provided by Google News

Global GPU Database Market Revenue Strategy 2019-2024 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
21 August 2019, Tribune City

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

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2025 | Kinetica, Omnisci, Sqream
31 July 2019, Daily Research Chronicle

Global GPU Database Market Research Strategies 2019 – Kinetica, Omnisci, Sqream, Nvidia
20 August 2019, Market Reports

GPU Database Market will grow in the upcoming year? Players evolved: Kinetica, Omnisci, Sqream, Neo4j, Nvidia
3 August 2019, Pioneer Reporter

provided by Google News

Job opportunities

Technology Architect - Data Engineering
In-Q-Tel, Arlington, VA

Senior Backend Test Engineer
OmniSci, San Francisco, CA

Sales Director - Department of Defense
OmniSci, Washington, DC

jobs by Indeed




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