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DBMS > Amazon Aurora vs. DataFS vs. FatDB vs. MarkLogic

System Properties Comparison Amazon Aurora vs. DataFS vs. FatDB vs. MarkLogic

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDataFS  Xexclude from comparisonFatDB  Xexclude from comparisonMarkLogic  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Operational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSObject oriented DBMSDocument store
Key-value store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websiteaws.amazon.com/­rds/­auroranewdatabase.comwww.progress.com/­marklogic
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldev.mobiland.com/­Overview.xspwww.progress.com/­marklogic/­documentation
DeveloperAmazonMobiland AGFatCloudMarkLogic Corp.
Initial release2015201820122001
Current release1.1.263, October 202211.0, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial inforestricted free version is 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++
Server operating systemshostedWindowsWindowsLinux
OS X
Windows
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnono infoVia inetgration in SQL Serveryes infoSQL92
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
Proprietary client DLL
WinRT client
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
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#
C++
VB.Net
C#C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infovia applicationsyes infovia XQuery or JavaScript
Triggersyesno, except callback-events from server when changes happenedyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningProprietary Sharding systemShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes, with Range Indexes
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-Profileno infoCan implement custom security layer via applicationsRole-based access control at the document and subdocument levels

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More resources
Amazon AuroraDataFSFatDBMarkLogic
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