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

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

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCrateDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDistributed Date Store based on LuceneDBMS for storing time series, events and metricsWidely used open source RDBMS
Primary database modelRelational DBMSRelational DBMS
Search engine
Time Series DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument storeDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.38
Rank#48  Overall
#28  Relational DBMS
Score0.66
Rank#183  Overall
#92  Relational DBMS
#12  Search engines
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score1283.06
Rank#2  Overall
#2  Relational DBMS
Websiteaws.amazon.com/­rds/­auroracrate.iowww.influxdata.com/­time-series-platform/­influxdbwww.mysql.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­CHAP_Aurora.htmlcrate.io/­docsdocs.influxdata.com/­influxdbdev.mysql.com/­doc
DeveloperAmazonCrateOracle infosince 2010, originally MySQL AB, then Sun
Initial release2015201320131995
Current release1.7.8, August 20198.0.18, October 2019
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are 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 languageJavaGoC and C++
Server operating systemshostedAll OS with a Java 7 VMLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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.yesnonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes, but no triggers and constraintsSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET infocommunity maintained client
JDBC
HTTP API
JSON over UDP
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
.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
Server-side scripts infoStored proceduresyesuser defined functionsnoyes infoproprietary syntax
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factorselectable replication factor infoin enterprise version onlyMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategynoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesnoyes infoDepending on used storage engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountssimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Amazon AuroraCrateDBInfluxDBMySQL
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
Open source core with closed source clustering available either on-premise or on...
» more
News

Using Secret Stores to Secure Flux Access
22 October 2019

Using InfluxDB to Predict The Next Extinction Event
21 October 2019

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

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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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon AuroraCrateDBInfluxDBMySQL
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