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DBMS > Amazon Aurora vs. FoundationDB vs. Microsoft SQL Server vs. Oracle Berkeley DB

System Properties Comparison Amazon Aurora vs. FoundationDB vs. Microsoft SQL Server vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonOrdered key-value store. Core features are complimented by layers.Microsofts relational DBMSWidely used in-process key-value store
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.75
Rank#47  Overall
#28  Relational DBMS
Score0.86
Rank#165  Overall
#24  Document stores
#29  Key-value stores
#80  Relational DBMS
Score1081.91
Rank#3  Overall
#3  Relational DBMS
Score2.91
Rank#90  Overall
#16  Key-value stores
#2  Native XML DBMS
Websiteaws.amazon.com/­rds/­aurorawww.foundationdb.orgwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­CHAP_Aurora.htmlapple.github.io/­foundationdbdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonFoundationDBMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2015201319891994
Current release6.1.11, July 2019SQL Server 2019, November 201918.1 (Core), June 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-free infosome layers support schemasyesschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesno
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.yesyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyessupported in specific SQL layer onlyyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
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
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesin SQL-layer onlyTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesnoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyesyes, but depending on the SQL-Server EditionMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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-standardnofine grained access rights according to SQL-standardno

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More resources
Amazon AuroraFoundationDBMicrosoft SQL ServerOracle Berkeley DB
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