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DBMS > Amazon Aurora vs. Drizzle vs. Microsoft SQL Server vs. OrigoDB vs. Spark SQL

System Properties Comparison Amazon Aurora vs. Drizzle vs. Microsoft SQL Server vs. OrigoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Microsofts flagship relational DBMSA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.05
Rank#49  Overall
#31  Relational DBMS
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.microsoft.com/­en-us/­sql-serverorigodb.comspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmllearn.microsoft.com/­en-US/­sql/­sql-serverorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonDrizzle project, originally started by Brian AkerMicrosoftRobert Friberg et alApache Software Foundation
Initial release2015200819892009 infounder the name LiveDB2014
Current release7.2.4, September 2012SQL Server 2022, November 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercial inforestricted free version is availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C#Scala
Server operating systemshostedFreeBSD
Linux
OS X
Linux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client API
HTTP API
LINQ
JDBC
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
C
C++
Java
PHP
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresyesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayesno
Triggersyesno infohooks for callbacks inside the server can be used.yesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server EditionSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardRole based authorizationno

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More resources
Amazon AuroraDrizzleMicrosoft SQL ServerOrigoDBSpark SQL
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