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DBMS > Amazon Aurora vs. InfluxDB vs. MySQL vs. Neo4j

System Properties Comparison Amazon Aurora vs. InfluxDB vs. MySQL vs. Neo4j

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDBMS for storing time series, events and metricsWidely used open source RDBMSOpen source graph database
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infoKey/Value like access via memcached APIGraph 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
Score49.46
Rank#22  Overall
#1  Graph DBMS
Websiteaws.amazon.com/­rds/­aurorawww.influxdata.com/­time-series-platform/­influxdbwww.mysql.comneo4j.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­CHAP_Aurora.htmldocs.influxdata.com/­influxdbdev.mysql.com/­docneo4j.com/­docs
DeveloperAmazonOracle infosince 2010, originally MySQL AB, then SunNeo4j, Inc.
Initial release2015201319952007
Current release1.7.8, August 20198.0.18, October 20193.5.8, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL version3, commercial licenses available
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++Java, Scala
Server operating systemshostedLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-free and schema-optional
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.yesnoyes
Secondary indexesyesnoyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesSQL-like query languageyes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
JSON over UDP
Proprietary native API
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
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
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyes infoproprietary syntaxyes infoUser defined Procedures and Functions
Triggersyesnoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor infoin enterprise version onlyMaster-master replication
Master-slave replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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 engineyes
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 rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Amazon AuroraInfluxDBMySQLNeo4j
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Why I Joined InfluxData
17 October 2019

Starting at InfluxDB – New Job, New Commute
15 October 2019

A Move to the Cloud and Other Highlights from InfluxData’s Third Quarter
14 October 2019

InfluxDB 2.0 Documentation is Now Open Source
14 October 2019

Using InfluxDB Cloud to Monitor GitHub Repos
11 October 2019

This Week in Neo4j – We need your GraphConnect 2020 talks, New Educator Program, Tuning Cypher, How do British MPs vote?
19 October 2019

#GraphCast: Bloom Series
18 October 2019

GraphConnect 2020: Call for Papers Closing November 15
17 October 2019

How Boston Scientific Improves Manufacturing Quality Using Graph Analytics
16 October 2019

Overcoming CCPA Compliance Challenges: What Is CCPA?
14 October 2019

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

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GraphConnect 2020
New York, USA, 20-22 April 2020

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