DBMS > Atos Standard Common Repository vs. MariaDB vs. QuestDB vs. RDF4J vs. TinkerGraph

System Properties Comparison Atos Standard Common Repository vs. MariaDB vs. QuestDB vs. RDF4J vs. TinkerGraph

Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

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.

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Primary database model

Document store
Key-value 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	113.89
Rank	#12	Overall
	#8	Relational DBMS

Score	1.28
Rank	#154	Overall
	#11	Time Series DBMS

Score	0.77
Rank	#203	Overall
	#9	RDF stores

Score	0.20
Rank	#289	Overall
	#23	Graph DBMS

Website

atos.net/en/convergence-creators/portfolio/standard-common-repository

mariadb.com

Site of MariaDB Corporation
mariadb.org

Site of MariaDB Foundation

questdb.io

rdf4j.org

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

Technical documentation

mariadb.com/kb/en/library

questdb.io/docs/introduction

rdf4j.org/documentation

Developer

Atos Convergence Creators

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

2016

2009

Fork of MySQL, which was first released in 1995

2014

2004

2009

Current release

1703

10.8.3, May 2022

License

Commercial or Open Source

commercial

Open Source

GPL version 2, commercial enterprise subscription available

Open Source

Apache 2.0

Open Source

Eclipse Distribution License (EDL), v1.0.

Open Source

Apache 2.0

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

Java

C and C++

Java

Server operating systems

Linux

FreeBSD
Linux
Solaris
Windows

ColumnStore storage engine not available on Windows

Linux
macOS
Windows

Linux
OS X
Unix
Windows

Data scheme

Schema and schema-less with LDAP views

yes

Dynamic columns are supported

yes

schema-free via InfluxDB Line Protocol

yes

RDF Schemas

schema-free

Typing

predefined data types such as float or date

optional

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

LDAP

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

TinkerPop 3

Supported programming languages

All languages with LDAP bindings

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

Groovy
Java

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

Sharding

cell division

several options for horizontal partitioning and Sharding

horizontal partitioning (by timestamps)

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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 or Eventual Consistency depending on configuration

Immediate Consistency

none

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

yes

Relationships in graphs

Transaction concepts

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

Atomic execution of specific operations

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

optional

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

yes

User concepts

Access control

LDAP bind authentication

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 6.5 Release - CSV import
8 August 2022

Setting up Basic Authentication for QuestDB open source using Nginx
5 August 2022

Time Series Forecasting with TensorFlow and QuestDB
20 June 2022

Building a Data Pipeline using QuestDB and Confluent Kafka
7 June 2022

QuestDB 6.4 Release Highlights
31 May 2022

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