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DBMS > Amazon Neptune vs. Faircom EDGE vs. OpenEdge vs. OrigoDB vs. Trafodion

System Properties Comparison Amazon Neptune vs. Faircom EDGE vs. OpenEdge vs. OrigoDB vs. Trafodion

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsApplication development environment with integrated database management systemA fully ACID in-memory object graph databaseTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score3.75
Rank#88  Overall
#47  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websiteaws.amazon.com/­neptunewww.faircom.com/­products/­faircom-edgewww.progress.com/­openedgeorigodb.comtrafodion.apache.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docstrafodion.apache.org/­documentation.html
DeveloperAmazonFairCom CorporationProgress Software CorporationRobert Friberg et alApache Software Foundation, originally developed by HP
Initial release2017197919842009 infounder the name LiveDB2014
Current releaseV3, October 2020OpenEdge 12.2, March 20202.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C#C++, Java
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL TypesyesUser defined using .NET types and collectionsyes
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.noyesyesno infocan be achieved using .NETno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesyes infoclose to SQL 92noyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Progress proprietary ABL (Advanced Business Language).NetAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesyesJava Stored Procedures
Triggersnoyesyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronizedSharding
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.yes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infowhen using SQLyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users and groupsRole based authorizationfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneFaircom EDGE infoformerly c-treeEDGEOpenEdgeOrigoDBTrafodion
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