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DBMS > IRONdb vs. OpenQM vs. RDF4J vs. Spark SQL vs. TypeDB

System Properties Comparison IRONdb vs. OpenQM vs. RDF4J vs. Spark SQL vs. TypeDB

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityQpenQM is a high-performance, self-tuning, multi-value DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spark SQL is a component on top of 'Spark Core' for structured data processingTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSMultivalue DBMSRDF storeRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#10  Multivalue DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.81
Rank#217  Overall
#19  Graph DBMS
#99  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmrdf4j.orgspark.apache.org/­sqltypedb.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltypedb.com/­docs
DeveloperCirconus LLC.Rocket Software, originally Martin PhillipsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software FoundationVaticle
Initial release20171993200420142016
Current releaseV0.10.20, January 20183.4-123.5.0 ( 2.13), September 20232.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaScalaJava
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infowith some exceptionsyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyes
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.noyesnono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Java
PHP
Python
Java
Python
R
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes, in Luayesyesnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeyesnoneyes, utilizing Spark CoreSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesnonenoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoAccess rights can be defined down to the item levelnonoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
IRONdbOpenQM infoalso called QMRDF4J infoformerly known as SesameSpark SQLTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
IRONdbOpenQM infoalso called QMRDF4J infoformerly known as SesameSpark SQLTypeDB infoformerly named Grakn
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