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DBMS > Faircom EDGE vs. FileMaker vs. IRONdb vs. RDF4J vs. SiteWhere

System Properties Comparison Faircom EDGE vs. FileMaker vs. IRONdb vs. RDF4J vs. SiteWhere

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFileMaker  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSiteWhere  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFileMaker is a cross-platform RDBMS that includes a GUI frontend.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.M2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMSRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.claris.com/­filemakerwww.circonus.com/solutions/time-series-database/rdf4j.orggithub.com/­sitewhere/­sitewhere
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.claris.com/­resources/­documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationsitewhere1.sitewhere.io/­index.html
DeveloperFairCom CorporationClaris infoa subsidiary of AppleCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.SiteWhere
Initial release19791983201720042010
Current releaseV3, October 202019.4.1, November 2021V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C and C++JavaJava
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
iOS infoclient part only
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes infoRDF Schemaspredefined scheme
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyes infotext, numeric, histogramsyesyes
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.yesyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes infoANSI SQL queriesyes infovia pluginsSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
PHP.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesyes, in Luayes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnoneAutomatic, metric affinity per nodenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication, warm standby infosince Version 14configurable replication factor, datacenter awarenoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.simple rights management via user accounts and connection to external directory servicesnonoUsers with fine-grained authorization concept

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More resources
Faircom EDGE infoformerly c-treeEDGEFileMakerIRONdbRDF4J infoformerly known as SesameSiteWhere
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