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DBMS > Amazon Neptune vs. BigObject vs. DataFS vs. Faircom EDGE

System Properties Comparison Amazon Neptune vs. BigObject vs. DataFS vs. Faircom EDGE

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBigObject  Xexclude from comparisonDataFS  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for real-time computations and queriesAll 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.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments
Primary database modelGraph DBMS
RDF store
Relational DBMS infoa hierachical model (tree) can be imposedObject oriented DBMSKey-value store
Relational DBMS
Secondary database modelsGraph 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
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Websiteaws.amazon.com/­neptunebigobject.ionewdatabase.comwww.faircom.com/­products/­faircom-edge
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bigobject.iodev.mobiland.com/­Overview.xspdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperAmazonBigObject, Inc.Mobiland AGFairCom Corporation
Initial release2017201520181979
Current release1.1.263, October 2022V3, October 2020
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
WindowsAndroid
Linux infoARM, x86
Raspbian
Windows
Data schemeschema-freeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)Flexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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.nononoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infoANSI SQL queries
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
fluentd
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
VB.Net
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresnoLuayes info.Net, JavaScript, C/C++
Triggersnonono, except callback-events from server when changes happenedyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneProprietary Sharding systemFile partitioning infoCustomizable business rules for partitioning
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.noneyes infoSynchronous and asynchronous realtime replication based on transaction logs
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoautomatically between fact table and dimension tablesyesyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes infoacross SQL and NoSQL
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noWindows-ProfileFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
Amazon NeptuneBigObjectDataFSFaircom EDGE infoformerly c-treeEDGE
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