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DBMS > Apache IoTDB vs. Brytlyt vs. FileMaker vs. RDF4J vs. TigerGraph

System Properties Comparison Apache IoTDB vs. Brytlyt vs. FileMaker vs. RDF4J vs. TigerGraph

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonFileMaker  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTigerGraph  Xexclude from comparison
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 FlinkScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFileMaker is a cross-platform RDBMS that includes a GUI frontend.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRDF storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteiotdb.apache.orgbrytlyt.iowww.claris.com/­filemakerrdf4j.orgwww.tigergraph.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.brytlyt.iowww.claris.com/­resources/­documentationrdf4j.org/­documentationdocs.tigergraph.com
DeveloperApache Software FoundationBrytlytClaris infoa subsidiary of AppleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20182016198320042017
Current release1.1.0, April 20235.0, August 202319.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyesyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes infovia pluginsnoSQL-like query language (GSQL)
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHPJava
PHP
Python
C++
Java
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLyesyesyes
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenone
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 replicationSource-replica replication, warm standby infosince Version 14none
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesnoRole-based access control

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More resources
Apache IoTDBBrytlytFileMakerRDF4J infoformerly known as SesameTigerGraph
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