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DBMS > Amazon Neptune vs. atoti vs. BigObject vs. FatDB vs. RDFox

System Properties Comparison Amazon Neptune vs. atoti vs. BigObject vs. FatDB vs. RDFox

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonatoti  Xexclude from comparisonBigObject  Xexclude from comparisonFatDB  Xexclude from comparisonRDFox  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFast, reliable graph database built for the cloudAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Analytic DBMS for real-time computations and queriesA .NET NoSQL DBMS that can integrate with and extend SQL Server.High performance knowledge graph and semantic reasoning engine
Primary database modelGraph DBMS
RDF store
Object oriented DBMSRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Key-value store
Graph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteaws.amazon.com/­neptuneatoti.iobigobject.iowww.oxfordsemantic.tech
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.atoti.iodocs.bigobject.iodocs.oxfordsemantic.tech
DeveloperAmazonActiveViamBigObject, Inc.FatCloudOxford Semantic Technologies
Initial release2017201520122017
Current release6.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercial infofree community edition availablecommercialcommercial
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 languageJavaC#C++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
WindowsLinux
macOS
Windows
Data schemeschema-freeyesschema-freeyes infoRDF schemas
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)SQL-like DML and DDL statementsno infoVia inetgration in SQL Serverno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
fluentd
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#C
Java
Server-side scripts infoStored proceduresnoPythonLuayes infovia applications
Triggersnonoyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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.noneselectable replication factorreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Immediate Consistency
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoautomatically between fact table and dimension tablesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nono infoCan implement custom security layer via applicationsRoles, resources, and access types

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More resources
Amazon NeptuneatotiBigObjectFatDBRDFox
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