DBMS > MariaDB vs. QuestDB vs. RDF4J

System Properties Comparison MariaDB vs. QuestDB vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.

A high performance open source SQL database for time series data

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Relational DBMS

Time Series DBMS

RDF store

Secondary database models

Document store
Graph DBMS

with OQGraph storage engine
Spatial DBMS

Relational DBMS

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

Score	111.13
Rank	#12	Overall
	#8	Relational DBMS

Score	1.19
Rank	#161	Overall
	#12	Time Series DBMS

Score	0.73
Rank	#204	Overall
	#9	RDF stores

Website

mariadb.com

Site of MariaDB Corporation
mariadb.org

Site of MariaDB Foundation

questdb.io

rdf4j.org

Technical documentation

mariadb.com/kb/en/library

questdb.io/docs/introduction

rdf4j.org/documentation

Developer

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

The lead developer Monty Widenius is the original author of MySQL

QuestDB Limited

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2009

Fork of MySQL, which was first released in 1995

2014

2004

Current release

10.7.2, February 2022

License

Commercial or Open Source

Open Source

GPL version 2, commercial enterprise subscription available

Open Source

Apache 2.0

Open Source

Eclipse Distribution License (EDL), v1.0.

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

SkySQL (The Ultimate MariaDB Cloud): The first and only DBaaS to bring the full power of MariaDB Platform to the cloud, combining powerful enterprise features and world-class support with unrivaled ease of use and groundbreaking innovation.

Implementation language

C and C++

Java

Server operating systems

FreeBSD
Linux
Solaris
Windows

ColumnStore storage engine not available on Windows

Linux
macOS
Windows

Linux
OS X
Unix
Windows

Data scheme

yes

Dynamic columns are supported

yes

schema-free via InfluxDB Line Protocol

yes

RDF Schemas

Typing

predefined data types such as float or date

yes

XML support

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

yes

with proprietary extensions

SQL-like query language

APIs and other access methods

ADO.NET
JDBC
ODBC
Proprietary native API

HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

PostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust

over HTTP

Java
PHP
Python

Server-side scripts

Stored procedures

yes

PL/SQL compatibility added with version 10.3

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

several options for horizontal partitioning and Sharding

horizontal partitioning (by timestamps)

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Configurable consistency for N replicas

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

not for MyISAM storage engine

ACID for single-table writes

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

not for in-memory storage engine

yes

in-memory storage is supported as well

In-memory capabilities

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

yes

with MEMORY storage engine

yes

through memory mapped files

User concepts

Access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

MariaDB is the most powerful open source relational database – modern SQL and JSON...
» more

Relational model with native time series support Column based storage and time partitioned...
» more

Competitive advantages

MariaDB has many features unavailable in other open source relational databases....
» more

Real-time data ingestion and istant SQL queries for time series High performance...
» more

Typical application scenarios

Web, SaaS and Cloud operational/transactional applications that require high availability,...
» more

Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more

Key customers

Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more

Market metrics

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

Licensing and pricing models

Apache 2.0.
» more

News

QuestDB 6.3 Release Highlights
9 May 2022

Time Series Data Analytics with QuestDB and Cube
26 April 2022

Demo of live crypto data streamed with QuestDB and Grafana
12 April 2022

Calling on our community members to help us support Ukraine
7 March 2022

QuestDB 6.2 January release, SQL JIT compiler
27 January 2022

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.