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DBMS > Amazon Aurora vs. Valentina Server

System Properties Comparison Amazon Aurora vs. Valentina Server

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonParadigma Software
Initial release20151999
Current release5.7.5
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedLinux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon AuroraValentina Server
DB-Engines blog posts

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3 August 2015, Matthias Gelbmann

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Recent citations in the news

Handle tables without primary keys while creating Amazon Aurora PostgreSQL zero-ETL integrations with Amazon ...
18 April 2024, AWS Blog

University of Nebraska-Omaha's ITD Lab migrates to Amazon Aurora with Babelfish, reducing database costs | Amazon ...
8 April 2024, AWS Blog

Join the preview of Amazon Aurora Limitless Database | Amazon Web Services
27 November 2023, AWS Blog

How RocketReach stabilized Amazon Aurora costs and improved performance with Amazon Aurora I/O-Optimized ...
2 April 2024, AWS Blog

New – Amazon Aurora Optimized Reads for Aurora PostgreSQL with up to 8x query latency improvement for I/O ...
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A Look at Valentina — SitePoint
18 April 2014, SitePoint

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7 December 2018, H2S Media

provided by Google News



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