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DBMS > Amazon Aurora vs. EXASOL vs. Netezza

System Properties Comparison Amazon Aurora vs. EXASOL vs. Netezza

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEXASOL  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.15
Rank#47  Overall
#28  Relational DBMS
Score2.86
Rank#90  Overall
#45  Relational DBMS
Score18.36
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.exasol.com/­en/­productswww.ibm.com/­analytics/­netezza
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.exasol.com/­en/­community/­resources
DeveloperAmazonExasolIBM
Initial release201520002000
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedLinux infoincluded in appliance
Data schemeyesyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
OLE DB
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Lua
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesuser defined functionsyes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept

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More resources
Amazon AuroraEXASOLNetezza infoAlso called PureData System for Analytics by IBM
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Recent citations in the news

What is Amazon Aurora?
23 December 2019, TechRadar

Resource guide for Amazon Aurora users
13 September 2019, MIT Technology Review

Amazon Announces General Availability of Aurora Multi-Master
3 September 2019, InfoQ.com

PostgreSQL on Amazon Aurora Serverless goes live. Check the price tag before diving in, though
10 July 2019, The Register

Amazon Aurora PostgreSQL Serverless generally available: Autoscaling & automatic
12 July 2019, JAXenter

provided by Google News

Operation Fistula Launches Visualize Gender Equality
5 March 2020, Yahoo Finance

SAP Big Data: Technologies For Building A Data Lake
2 March 2020, E3zine.com

Splunk research unveils economic value of data for businesses worldwide
13 March 2020, Data Economy

Current and Future Growth of In-memory OLAP Database Market by Forecast to 2024: Leading Players – Altibase, IBM, Microsoft, Oracle, SAP SE
13 March 2020, Bandera County Courier

Revolut Achieves True Data Democratization With Exasol
31 July 2019, Business Wire

provided by Google News

Octopai Announces Support of Tabular on Azure Analysis Services, Netezza and Vertica
9 March 2020, MarTech Series

RIP Netezza, IBM’s FPGA-powered data warehousing dream
3 July 2019, The Register

Analytics Moves To The Cloud, And IBM i Data Goes With It
11 March 2020, IT Jungle

Breaking through Netezza End-of-Life
30 October 2018, Database Trends and Applications

Unlocking the Primary Key of Netezza
2 August 2018, Toolbox

provided by Google News

Job opportunities

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