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DBMS > Apache IoTDB vs. EXASOL vs. FileMaker vs. IRONdb vs. RDF4J

System Properties Comparison Apache IoTDB vs. EXASOL vs. FileMaker vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.FileMaker 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.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websiteiotdb.apache.orgwww.exasol.comwww.claris.com/­filemakerwww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.exasol.com/­resourceswww.claris.com/­resources/­documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperApache Software FoundationExasolClaris infoa subsidiary of AppleCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20182000198320172004
Current release1.1.0, April 202319.4.1, November 2021V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsAll OS with a Java VM (>= 1.8)iOS infoclient part only
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonoyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesyes infovia pluginsSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBC
Native API
.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
Lua
Python
R
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 proceduresyesuser defined functionsyesyes, in Luayes
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replication, warm standby infosince Version 14configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesyesno
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts and connection to external directory servicesnono

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More resources
Apache IoTDBEXASOLFileMakerIRONdbRDF4J infoformerly known as Sesame
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