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DBMS > Amazon Neptune vs. Faircom EDGE vs. Stardog vs. Tibero

System Properties Comparison Amazon Neptune vs. Faircom EDGE vs. Stardog vs. Tibero

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonStardog  Xexclude from comparisonTibero  Xexclude from comparison
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 environmentsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA secure RDBMS, designed for easy portability from Oracle
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Graph DBMS
RDF store
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
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score1.81
Rank#143  Overall
#65  Relational DBMS
Websiteaws.amazon.com/­neptunewww.faircom.com/­products/­faircom-edgewww.stardog.comus.tmaxsoft.com/­products/­tibero
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.stardog.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperAmazonFairCom CorporationStardog-UnionTmaxSoft
Initial release2017197920102003
Current releaseV3, October 20207.3.0, May 20206, April 2015
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
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++JavaC and Assembler
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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.noyesno infoImport/export of XML data possibleyes
Secondary indexesnoyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
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
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functions and aggregates, HTTP Server extensions in JavaPersistent Stored Procedure (PSM)
Triggersnoyesyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningnonehorizontal partitioning infoby range, hash, list or composite
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 logsMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infowhen using SQLyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.yesyesno infoplanned for next version
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.Access rights for users and rolesfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Amazon NeptuneFaircom EDGE infoformerly c-treeEDGEStardogTibero
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