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DBMS > BigObject vs. Faircom EDGE vs. RDF4J vs. RRDtool

System Properties Comparison BigObject vs. Faircom EDGE vs. RDF4J vs. RRDtool

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value store
Relational DBMS
RDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitebigobject.iowww.faircom.com/­products/­faircom-edgerdf4j.orgoss.oetiker.ch/­rrdtool
Technical documentationdocs.bigobject.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlrdf4j.org/­documentationoss.oetiker.ch/­rrdtool/­doc
DeveloperBigObject, Inc.FairCom CorporationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tobias Oetiker
Initial release2015197920041999
Current releaseV3, October 20201.8.0, 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infoRestricted, free version availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Unix
Windows
HP-UX
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL TypesyesNumeric data only
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 infoExporting into and restoring from XML files possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoANSI SQL queriesnono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
in-process shared library
Pipes
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
PHP
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresLuayes info.Net, JavaScript, C/C++yesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency
none
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infoacross SQL and NoSQLyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyes 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.yesyesyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nono

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More resources
BigObjectFaircom EDGE infoformerly c-treeEDGERDF4J infoformerly known as SesameRRDtool
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