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DBMS > Brytlyt vs. IRONdb vs. RDF4J vs. SQLite

System Properties Comparison Brytlyt vs. IRONdb vs. RDF4J vs. SQLite

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSQLite  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA 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.Widely used embeddable, in-process RDBMS
Primary database modelRelational DBMSTime Series DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitebrytlyt.iowww.circonus.com/solutions/time-series-database/rdf4j.orgwww.sqlite.org
Technical documentationdocs.brytlyt.iodocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationwww.sqlite.org/­docs.html
DeveloperBrytlytCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Dwayne Richard Hipp
Initial release2016201720042000
Current release5.0, August 2023V0.10.20, January 20183.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC and C++JavaC
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
server-less
Data schemeyesschema-freeyes infoRDF Schemasyes infodynamic column types
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes infonot rigid because of 'dynamic typing' concept.
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)noyes infoSQL-92 is not fully supported
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes, in Luayesno
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter awarenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonono

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More resources
BrytlytIRONdbRDF4J infoformerly known as SesameSQLite
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