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

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

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonMicrosofts relational DBMSA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.64
Rank#45  Overall
#28  Relational DBMS
Score1059.72
Rank#3  Overall
#3  Relational DBMS
Score1.98
Rank#122  Overall
#59  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.microsoft.com/­en-us/­sql-serverwww.omnisci.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationdocs.omnisci.com/­latest
DeveloperAmazonMicrosoftMapD Technologies, Inc.
Initial release201519892016
Current releaseSQL Server 2019, November 2019V4
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2; enterprise edition 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++ and CUDA
Server operating systemshostedLinux
Windows
Linux
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.yesyesno
Secondary indexesyesyesno
SQL infoSupport of SQLyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Thrift
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes, but depending on the SQL-Server EditionMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

More information provided by the system vendor

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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 AuroraMicrosoft SQL ServerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Recent citations in the news

Best practices for exporting and importing data from Amazon Aurora MySQL to Amazon S3
16 June 2020, idk.dev

Managing inactive Amazon Aurora PostgreSQL users
8 June 2020, idk.dev

Building globally distributed MySQL applications using write forwarding in Amazon Aurora Global Database
19 June 2020, idk.dev

Understanding autovacuum in Amazon RDS for PostgreSQL environments
6 July 2020, idk.dev

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17 June 2020, The National Law Review

The SQL Server and Azure SQL Connector for Apache Spark is now available on GitHub
22 June 2020, Neowin

The latest cumulative update for SQL Server 2019 is now available [Update]
16 June 2020, Neowin

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