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DBMS > jBASE vs. Kinetica vs. MariaDB vs. OmniSci

System Properties Comparison jBASE vs. Kinetica vs. MariaDB vs. OmniSci

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Editorial information provided by DB-Engines
NamejBASE  Xexclude from comparisonKinetica  Xexclude from comparisonMariaDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionA robust multi-value DBMS comprising development tools and middlewareGPU-accelerated database for real-time analysis of large and streaming datasetsMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. With MariaDB ColumnStore a column-oriented storage engine is available too.A high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#120  Overall
#3  Multivalue DBMS
Score0.60
Rank#193  Overall
#93  Relational DBMS
Score86.79
Rank#13  Overall
#8  Relational DBMS
Score2.30
Rank#104  Overall
#50  Relational DBMS
Websitewww.jbase.comwww.kinetica.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.omnisci.com
Technical documentationdocs.jbase.comwww.kinetica.com/­docsmariadb.com/­kb/­en/­librarydocs.omnisci.com/­latest
DeveloperZumasysKineticaMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MapD Technologies, Inc.
Initial release1991201220092016
Current release5.76.010.4.10, November 2019V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial enterprise subscription availableOpen 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.
  • MariaDB Managed Service: A customized MariaDB deployment fully managed by the experts at MariaDB in the cloud of your choice. Keeps you up to date with features, upgrades, hotfixes and security patches.
  • Azure Database for MariaDB: A fully managed, scalable MariaDB relational database with high availability and security built in at no extra cost
Implementation languageC, C++C and C++C++ and CUDA
Server operating systemsAIX
Linux
Windows
LinuxFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
Data schemeschema-freeyesyes infoDynamic columns are supportedyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Thrift
Supported programming languages.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes infoPL/SQL compatibility added with version 10.3no
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingHorizontal partitioning, sharding with Spider storage engine or Galera cluster infoPartitioning by range, list, hash, keySharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationMaster-master replication infousing MariaDB Galera Cluster
Master-slave replication
Master-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 integritynoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyes
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 infowith MEMORY storage engineyes
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
jBASEKineticaMariaDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsOpen source database from the creators of MySQL, enhanced with enterprise tools and...
» more
Competitive advantagesHigh availability, scalability, performance beyond MySQL and other databases.
» more
Typical application scenariosWeb, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customersBooking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more

Azure Database for MariaDB: Easily deploy applications to the cloud.
» more

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

More resources
jBASEKineticaMariaDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Conferences and events

MariaDB OpenWorks 2020
New York City, USA, 4-6 May 2020

Recent citations in the news

Zumasys Acquires jBASE Database
5 January 2015, Business Wire

Zumasys, Inc
5 March 2019, International Spectrum Magazine

Vultar Releases JDBC Drivers for jBASE
3 April 2019, International Spectrum Magazine

Temenos sells non-banking part of jBase to Zumasys
15 February 2016, IBS Intelligence

provided by Google News

Kinetica Active Analytics Platform Incorporates NVIDIA RAPIDS for Predictive Analytics
13 November 2019, Database Trends and Applications

The Kinetica Active Analytics Platform and RAPIDS Now Available on Oracle Cloud Infrastructure to Accelerate Predictive Data Analytics Performance
19 November 2019, Yahoo Finance

White paper: Inside Kinetica
6 December 2019, ITWeb

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
28 November 2019, Montana Ledger

GPU Database Market Research Report 2019-2025 Global Industry Size by Key Companies- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix
29 November 2019, VaporBlash

provided by Google News

Django 3.0 released with built-in async functionality and support for MariaDB and Python 3.6, 3.7 and 3.8
3 December 2019, Packt Hub

Django 3.0 begins its async-capable journey with ASGI
4 December 2019, JAXenter

7 MySQL and MariaDB features you don't want to miss
26 June 2019, InfoWorld

MariaDB announces the release of MariaDB Enterprise Server 10.4
12 June 2019, Packt Hub

For MariaDB, it’s time to put the pieces together
27 February 2019, ZDNet

provided by Google News

OmniSci, Intel Join Forces to Produce Better CPU Analytics
2 December 2019, Toolbox

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
28 November 2019, Montana Ledger

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
16 November 2019, News Hours Today

GPU Database Market Research Report 2019-2025 Global Industry Size by Key Companies- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix
29 November 2019, VaporBlash

GPU Database Market to Show Strong Growth (Kinetica, Omnisci, Sqream, Neo4j and many more..)
12 November 2019, VaporBlash

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