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DBMS > IRONdb vs. mSQL vs. NCache vs. RDF4J

System Properties Comparison IRONdb vs. mSQL vs. NCache vs. RDF4J

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNCache  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 simplicitymSQL (Mini SQL) is a simple and lightweight RDBMSOpen-Source and Enterprise in-memory Key-Value StoreRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSRelational DBMSKey-value storeRDF store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.circonus.com/solutions/time-series-database/hughestech.com.au/­products/­msqlwww.alachisoft.com/­ncacherdf4j.org
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.alachisoft.com/­resources/­docsrdf4j.org/­documentation
DeveloperCirconus LLC.Hughes TechnologiesAlachisoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2017199420052004
Current releaseV0.10.20, January 20184.4, October 20215.3.3, April 2024
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoEnterprise Edition availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CC#, .NET, .NET Core, JavaJava
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.no
APIs and other access methodsHTTP APIJDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresyes, in Luanono infosupport for stored procedures with SQL-Server CLRyes
Triggersnonoyes infoNotificationsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesnoneEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking and pessimistic lockingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyes
User concepts infoAccess controlnonoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)no
More information provided by the system vendor
IRONdbmSQL infoMini SQLNCacheRDF4J infoformerly known as Sesame
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
IRONdbmSQL infoMini SQLNCacheRDF4J infoformerly known as Sesame
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