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DBMS > Amazon Aurora vs. Impala vs. Microsoft SQL Server

System Properties Comparison Amazon Aurora vs. Impala vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonImpala  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopMicrosofts flagship relational DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.48
Rank#46  Overall
#28  Relational DBMS
Score18.17
Rank#37  Overall
#23  Relational DBMS
Score992.66
Rank#3  Overall
#3  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperAmazonClouderaMicrosoft
Initial release201520131989
Current release3.4.0, April 2020SQL Server 2019, November 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial inforestricted free version is available
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.
Implementation languageC++C++
Server operating systemshostedLinuxLinux
Windows
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.yesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAda
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/ODBCC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standard

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More resources
Amazon AuroraImpalaMicrosoft SQL Server
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Recent citations in the news

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30 April 2021, Centre for Aviation

AQUA for Amazon Redshift goes GA
14 April 2021, ZDNet

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13 April 2021, CRN

AWS Announces Amazon Aurora Supports PostgreSQL 12 (infoq.com)
7 February 2021, InfoQ.com

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Cloudera Boosts Hadoop App Development On Impala
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Cloudera says Impala is faster than Hive, which isn't saying much – Gigaom
13 January 2014, GigaOM

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Pentaho adds Amazon Redshift, Cloudera Impala to stable of data sources
17 February 2015, SiliconANGLE

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