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DBMS > Amazon Aurora vs. DataFS vs. Hypertable

System Properties Comparison Amazon Aurora vs. DataFS vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDataFS  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines 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.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSObject oriented DBMSWide column store
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
#18  Object oriented DBMS
Websiteaws.amazon.com/­rds/­auroranewdatabase.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldev.mobiland.com/­Overview.xsp
DeveloperAmazonMobiland AGHypertable Inc.
Initial release201520182009
Current release1.1.263, October 20220.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedWindowsLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesno
Secondary indexesyesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
Proprietary client DLL
WinRT client
C++ API
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
.Net
C
C#
C++
VB.Net
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersyesno, except callback-events from server when changes happenedno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-Profileno

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More resources
Amazon AuroraDataFSHypertable
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