DBMS > Amazon Aurora vs. InfluxDB vs. MariaDB

System Properties Comparison Amazon Aurora vs. InfluxDB vs. MariaDB

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Editorial information provided by DB-Engines

Name

Description

MySQL and PostgreSQL compatible cloud service by Amazon

DBMS for storing time series, events and metrics

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.

Primary database model

Relational DBMS

Time Series DBMS

Relational DBMS

Secondary database models

Document store

Document store
Graph DBMS info

with OQGraph storage engine

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

Score	7.87
Rank	#47	Overall
	#28	Relational DBMS

Score	20.33
Rank	#32	Overall
	#1	Time Series DBMS

Score	86.79
Rank	#13	Overall
	#8	Relational DBMS

Website

aws.amazon.com/rds/aurora

www.influxdata.com/products/influxdb-overview

mariadb.com info

Site of MariaDB Corporation
mariadb.org info

Site of MariaDB Foundation

Technical documentation

docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_Aurora.html

docs.influxdata.com/influxdb

mariadb.com/kb/en/library

Developer

Amazon

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

The lead developer Monty Widenius is the original author of MySQL

Initial release

2015

2013

2009

Current release

1.7.8, August 2019

10.4.10, November 2019

License

Commercial or Open Source

commercial

Open Source info

MIT-License; commercial enterprise version available

Open Source info

GPL version 2, commercial enterprise subscription available

Cloud-based only info

Only available as a cloud service

yes

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 and C++

Server operating systems

hosted

Linux
OS X info

through Homebrew

FreeBSD
Linux
Solaris
Windows info

ColumnStore storage engine not available on Windows

Data scheme

yes

schema-free

yes

Dynamic columns are supported

Typing

predefined data types such as float or date

yes

Numeric data and Strings

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

yes

SQL-like query language

yes

with proprietary extensions

APIs and other access methods

ADO.NET
JDBC
ODBC

HTTP API
JSON over UDP

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

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

.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala

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

Server-side scripts info

Stored procedures

yes

PL/SQL compatibility added with version 10.3

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

horizontal partitioning

Sharding

in enterprise version only

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

Partitioning by range, list, hash, key

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-slave replication

selectable replication factor info

in enterprise version only

Master-master replication info

using MariaDB Galera Cluster
Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

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

In-memory capabilities info

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

yes

Depending on used storage engine

yes

with MEMORY storage engine

User concepts info

Access control

fine grained access rights according to SQL-standard

simple rights management via user accounts

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

InfluxData is the creator of InfluxDB , the open source time series database. It...
» more

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

Competitive advantages

Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more

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

Typical application scenarios

IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more

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

Key customers

InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more

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

Market metrics

Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more

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

Licensing and pricing models

Open source core with closed source clustering available either on-premise or on...
» more

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