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DBMS > c-treeEDGE vs. IRONdb vs. RDF4J

System Properties Comparison c-treeEDGE vs. IRONdb vs. RDF4J

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Editorial information provided by DB-Engines
Namec-treeEDGE  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionDatabase built for IoT edge computing, which runs natively on ARM or x86 processors and on major IoT operating systems.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.
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#219  Overall
#38  Key-value stores
#106  Relational DBMS
Score0.05
Rank#314  Overall
#27  Time Series DBMS
Score0.37
Rank#223  Overall
#10  RDF stores
Websitewww.faircom.com/­-products/­-c-treeedgewww.irondb.iordf4j.org
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorywww.irondb.io/­docsdocs.rdf4j.org
DeveloperFairCom CorporationCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release197920172004
Current releaseV1, Juni 2018V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C and C++Java
Server operating systemsAndroid
Linux
Raspbian
Windows infoeasily portable to other OSs
LinuxLinux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyes infotext, numeric, histogramsyes
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 indexesyesnoyes
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsDirect SQL
IoT Microservice layer
MQTT (Message Queue Telemetry Transport)
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
.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++yes, in Luayes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nono
More information provided by the system vendor
c-treeEDGEIRONdbRDF4J infoformerly known as Sesame
Specific characteristicsThe c-treeEDGE IoT Database is a fast, flexible solution with a robust architecture...
» more
IRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesTop Features Micro footprint: As low as 37 MB IoT communication interfaces : MQTT,...
» more
Unmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosc-treeEDGE can be deployed at or near the data collection point (sensors) and used...
» more
Real Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersNew product
» more
IRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsNew product
» more
Only TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsJust as the technical aspects of c-treeEDGE are flexible to meet operation requirements,...
» more
IRONdb is licensed under a subscription model based on the number of active metrics...
» more

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More resources
c-treeEDGEIRONdbRDF4J infoformerly known as Sesame
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