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DBMS > Amazon DocumentDB vs. MySQL vs. Trafodion

System Properties Comparison Amazon DocumentDB vs. MySQL vs. Trafodion

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMySQL  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWidely used open source RDBMSTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#153  Overall
#25  Document stores
Score1182.79
Rank#2  Overall
#2  Relational DBMS
Score0.63
Rank#254  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.mysql.comtrafodion.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdev.mysql.com/­doctrafodion.apache.org
DeveloperOracle infosince 2010, originally MySQL AB, then SunApache Software Foundation, originally developed by HP
Initial release201919952014
Current release8.0.32, January 20232.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++, Java
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxJava Stored Procedures
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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