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DBMS > Amazon Aurora vs. Amazon Neptune vs. FatDB vs. Graph Engine

System Properties Comparison Amazon Aurora vs. Amazon Neptune vs. FatDB vs. Graph Engine

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonFatDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  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 AmazonFast, reliable graph database built for the cloudA .NET NoSQL DBMS that can integrate with and extend SQL Server.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Key-value store
Graph DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­neptunewww.graphengine.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlaws.amazon.com/­neptune/­developer-resourceswww.graphengine.io/­docs/­manual
DeveloperAmazonAmazonFatCloudMicrosoft
Initial release2015201720122010
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#.NET and C
Server operating systemshostedhostedWindows.NET
Data schemeyesschema-freeschema-freeyes
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.yesnono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnono infoVia inetgration in SQL Serverno
APIs and other access methodsADO.NET
JDBC
ODBC
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP API
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#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyesnoyes infovia applicationsyes
Triggersyesnoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applications

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More resources
Amazon AuroraAmazon NeptuneFatDBGraph Engine infoformer name: Trinity
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Trinity
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