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DBMS > Amazon Aurora vs. InfluxDB vs. MySQL vs. NuoDB

System Properties Comparison Amazon Aurora vs. InfluxDB vs. MySQL vs. NuoDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDBMS for storing time series, events and metricsWidely used open source RDBMSNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.38
Rank#48  Overall
#29  Relational DBMS
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score1283.06
Rank#2  Overall
#2  Relational DBMS
Score0.96
Rank#148  Overall
#74  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.influxdata.com/­time-series-platform/­influxdbwww.mysql.comwww.nuodb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­CHAP_Aurora.htmldocs.influxdata.com/­influxdbdev.mysql.com/­docdoc.nuodb.com
DeveloperAmazonOracle infosince 2010, originally MySQL AB, then SunNuoDB, Inc.
Initial release2015201319952013
Current release1.7.8, August 20198.0.17, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageGoC and C++C++
Server operating systemshostedLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query languageyes infowith proprietary extensionsyes
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
JSON over UDP
Proprietary native API
ADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
Supported programming languagesAda
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
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes infoproprietary syntaxJava, SQL
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor infoin enterprise version onlyMaster-master replication
Master-slave replication
yes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyesyes infoTemporary table
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesStandard SQL roles/ privileges, Administrative Users
More information provided by the system vendor
Amazon AuroraInfluxDBMySQLNuoDB
Specific characteristicsHorizontal scale-out, continuous availability, multi-tenant support, ANSI SQL compatible,...
» more
Competitive advantagesNuoDB is a scale-out SQL RDBMS based on a Durable Distributed Caching (DDC) architecture....
» more
Typical application scenariosOperational / OLTP database workloads in data centers or public clouds
» more
Key customersDassault Systemes, Santander, Temenos
» more
Market metricsFast growing commercial and enterprise customer base IDC Innovators: Dynamically...
» more
Licensing and pricing modelsSubscription-based pricing with free community edition and commercial enterprise...
» more
News

Your Upgrade Guide for NuoDB - 4 Simple Steps for Success (Tech Blog)
2 October 2019

At Sibos, Technology For Your Cloud Banking Transformation (Corporate Blog)
20 September 2019

DDL+ACID - You‘ve heard of ‘transactional’, let’s talk ‘isolated’ (Tech Blog)
19 September 2019

Running NuoDB in Docker - Part II (Tech Blog)
16 September 2019

Learn How To Power Your Critical Banking Apps In The Cloud (Tech Blog)
12 September 2019

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.

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Amazon AuroraInfluxDBMySQLNuoDB
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