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

Name

Description

A robust multi-value DBMS comprising development tools and middleware

GPU-accelerated database for real-time analysis of large and streaming datasets

MySQL 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 model

Multivalue DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS info

with OQGraph storage engine

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.69
Rank	#120	Overall
	#3	Multivalue DBMS

Score	0.60
Rank	#193	Overall
	#93	Relational DBMS

Score	86.79
Rank	#13	Overall
	#8	Relational DBMS

Score	2.30
Rank	#104	Overall
	#50	Relational DBMS

Website

www.jbase.com

www.kinetica.com

mariadb.com info

Site of MariaDB Corporation
mariadb.org info

Site of MariaDB Foundation

www.omnisci.com

Technical documentation

docs.jbase.com

www.kinetica.com/docs

mariadb.com/kb/en/library

docs.omnisci.com/latest

Developer

Zumasys

Kinetica

MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) info

The lead developer Monty Widenius is the original author of MySQL

MapD Technologies, Inc.

Initial release

1991

2012

2009

2016

Current release

5.7

6.0

10.4.10, November 2019

License

Commercial or Open Source

commercial

Open Source info

GPL version 2, commercial enterprise subscription available

Open Source info

Apache Version 2; enterprise edition available

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database 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 language

C, C++

C and C++

C++ and CUDA

Server operating systems

AIX
Linux
Windows

Linux

FreeBSD
Linux
Solaris
Windows info

ColumnStore storage engine not available on Windows

Linux

Data scheme

schema-free

yes

Dynamic columns are supported

yes

Typing

predefined data types such as float or date

optional

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

Embedded SQL for jBASE in BASIC

SQL-like DML and DDL statements

yes

with proprietary extensions

yes

APIs and other access methods

JDBC
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 info

Stored procedures

yes

user defined functions

yes

PL/SQL compatibility added with version 10.3

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Horizontal partitioning, sharding with Spider storage engine or Galera cluster info

Partitioning by range, list, hash, key

Sharding

Round robin

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Master-slave replication

Master-master replication info

using MariaDB Galera Cluster
Master-slave replication

Master-master replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys info

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

not for MyISAM storage engine

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

not for in-memory storage engine

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

GPU vRAM or System RAM

yes

with MEMORY storage engine

yes

User concepts info

Access control

Access rights can be defined down to the item level

Access rights for users and roles on table level

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Open source database from the creators of MySQL, enhanced with enterprise tools and...
» more

Competitive advantages

High availability, scalability, performance beyond MySQL and other databases.
» more

Typical application scenarios

Web, SaaS and Cloud operational/transactional applications that require high availability,...
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Key customers

Booking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» more

Market metrics

MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
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