DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > BigObject vs. Drizzle vs. Kinetica vs. OmniSci

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  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.
DescriptionAnalytic DBMS for real-time computations and queriesMySQL 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 datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#311  Overall
#131  Relational DBMS
Score0.61
Rank#197  Overall
#95  Relational DBMS
Score1.98
Rank#117  Overall
#55  Relational DBMS
Websitewww.bigobject.iowww.kinetica.comwww.omnisci.com
Technical documentationdocs.bigobject.iowww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperBigObject, Inc.Drizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.
Initial release2015200820122016
Current release7.2.4, September 20126.0V4
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGNU GPLcommercialOpen 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 CUDA
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
LinuxLinux
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 SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresLuanouser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

More information provided by the system vendor

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.

Related products and services

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

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

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the news

How to Stay Sane With Modern C++
7 February 2017, DZone News

provided by Google 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

GPU Database Market: Industry In Depth Research, Advancements, Statistics, Facts and Figures by Forecast 2026
2 June 2020, Bulletin Line

COVID-19 Real-Time Crisis Management Platform Data-Driven Emergency
12 May 2020, AiThority

Disaster Tech & Kinetica Launches Crisis Management Platform
8 May 2020, Geospatial World

provided by Google News

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

Job opportunities

Sales Enablement Manager
Kinetica DB, San Francisco, CA

Customer Support Engineer (Night Shift)
Kinetica DB, Arlington, VA

Enterprise Account Executive, America's (Remote - Seattle)
Kinetica DB, Seattle, WA

Enterprise Account Executive (Federal Government)
Kinetica DB, Arlington, VA

Enterprise Account Executive (Remote - South)
Kinetica DB, Dallas, TX

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Datastax Luna logo

Simple, subscription-based support for open source
Apache Cassandra™ from the Cassandra experts.
Learn more.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here