DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon SimpleDB vs. MongoDB vs. MySQL

System Properties Comparison Amazon SimpleDB vs. MongoDB vs. MySQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonMongoDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used open source RDBMS
Primary database modelKey-value storeDocument storeRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.36
Rank#98  Overall
#18  Key-value stores
Score412.09
Rank#5  Overall
#1  Document stores
Score1283.06
Rank#2  Overall
#2  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.mongodb.comwww.mysql.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.mongodb.com/­manualdev.mysql.com/­doc
DeveloperAmazonMongoDB, IncOracle infosince 2010, originally MySQL AB, then Sun
Initial release200720091995
Current release4.2, August 20198.0.17, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud serviceyesno infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
  • 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 languageC++C and C++
Server operating systemshostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or datenoyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.yes
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIproprietary protocol using JSONProprietary native API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
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 proceduresnoJavaScriptyes infoproprietary syntax
Triggersnoyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infopartitioned by hashed, ranged, or zoned sharding keyshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationMulti-document ACID Transactions with snapshot isolationACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Amazon SimpleDBMongoDBMySQL
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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.

Related products and services
3rd partiesScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Knowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
» more

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more
SQLPro for MySQL: A simple but powerful MySQL database client available on iPhone and iPad as well as macOS.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Dremio is like magic for MySQL accelerating your analytical queries up to 1,000x.
» more

ScaleGrid: Fully managed MySQL-as-a-Service.
» more

General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» more

Azure Database for MySQL provides fully managed, enterprise-ready community MySQL database as a service
» more

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

More resources
Amazon SimpleDBMongoDBMySQL
DB-Engines blog posts

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL moves up one rank at the expense of MongoDB
1 September 2016, Paul Andlinger

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

show all

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Amazon SimpleDB overview
14 June 2015, TechTarget

Introducing Amazon SimpleDB | What Is SimpleDB?
12 August 2010, informIT

How to weigh Amazon DynamoDB vs. SimpleDB
27 June 2014, TechTarget

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed Product On AWS
12 November 2013, TechCrunch

Amazon Goes Back to the Future With 'NoSQL' Database
19 January 2012, Wired News

provided by Google News

MongoDB: Not A Buy Yet
10 October 2019, Seeking Alpha

MongoDB points Compass at GitHub under SSPL
25 September 2019, DevClass

MongoDB cloud chief explains the value add that Atlas brings for modern data companies
26 September 2019, Diginomica

MongoDB vs. MySQL: How to choose
14 October 2019, InfoWorld

JetBrains blows hot for MongoDB in latest IntelliJ build
10 October 2019, DevClass

provided by Google News

Learn MySQL and Start Working With Data Like a Pro
16 October 2019, Entrepreneur

Learn MySQL via this super cheap online course
16 October 2019, Mashable

MongoDB vs. MySQL: How to choose
14 October 2019, InfoWorld

Raytracing with MySQL
10 October 2019, Boing Boing

DBmaestro Brings Database Release Automation to MySQL, MariaDB and RDS
15 October 2019, Yahoo Finance

provided by Google News

Job opportunities

Software Developer (Ruby)
PMX Agency, Remote

Global Account Manager
Amazon Web Services, Inc., Ballston, VA

Software Engineer (Data Visualization)
KSM Consulting, Indianapolis, IN

Head of Education Sales, Latin America, Canada & Caribbean
Amazon Web Services, Inc., Seattle, WA

Global Alliance Manager
Amazon Web Services, Inc., San Francisco, CA

Sr. Database Engineer - NoSQL
Visa, Austin, TX

Database Engineer
4C Insights, Chicago, IL

Entry-Level Full Stack Developer
IBM, San Jose, CA

Forensic Database Engineer
Deloitte, Washington, DC

Cassandra Database Engineer
Synchronoss, Bridgewater, NJ

Database Administrator
Paylocity, Remote

FullStack/PHP Web Developer
KMM Technologies, Reston, VA

Database Administrator (MySQL)
Artemis Consulting, Inc., Research Triangle Park, NC

Database Administrator - MySQL
Afiniti, Washington, DC

MySQL DBA (Database Administrator)
LeadFerret, Woodland Hills, CA

jobs by Indeed




Share this page

Featured Products

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here