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DBMS > Amazon DocumentDB vs. MySQL vs. Netezza

System Properties Comparison Amazon DocumentDB vs. MySQL vs. Netezza

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMySQL  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWidely used open source RDBMSData warehouse and analytics appliance part of IBM PureSystems
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
Score1.87
Rank#131  Overall
#24  Document stores
Score1039.46
Rank#2  Overall
#2  Relational DBMS
Score8.15
Rank#46  Overall
#30  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.mysql.comwww.ibm.com/­products/­netezza
Technical documentationaws.amazon.com/­documentdb/­resourcesdev.mysql.com/­doc
DeveloperOracle infosince 2010, originally MySQL AB, then SunIBM
Initial release201919952000
Current release9.0.0, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
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++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in appliance
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.noyes
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
JDBC
ODBC
OLE DB
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
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxyes
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
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infonot for MyISAM storage engineno
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.yes
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or rolesUsers with fine-grained authorization concept

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Related products and services
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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
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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 DocumentDBMySQLNetezza infoAlso called PureData System for Analytics by IBM
DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

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Recent citations in the news

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available
29 November 2023, AWS Blog

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0
15 April 2024, AWS Blog

Use headless clusters in Amazon DocumentDB for cost-effective multi-Region resiliency
8 March 2024, AWS Blog

Unlock the power of parallel indexing in Amazon DocumentDB | Amazon Web Services
19 June 2024, AWS Blog

Achieve continuous delivery with blue/green deployments using Amazon DocumentDB database cloning and AWS DMS | Amazon Web Services
27 March 2024, AWS Blog

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Latest MySQL release is underwhelming, say some DB experts
16 July 2024, The Register

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MySQL 9.0 Innovation Release Now Available
17 July 2024, InfoQ.com

A Complete Guide on MySQL Workbench
12 July 2024, Simplilearn

What to be aware before importing MariaDB .sql into a MySQL database?
11 July 2024, SitePoint

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Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Roundup: IBM, Arista, AboveNet
31 May 2024, Data Center Knowledge

Migrating your Netezza data warehouse to Amazon Redshift
27 May 2020, AWS Blog

IBM Completes Acquisition of Netezza
26 October 2017, PR Newswire

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