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DBMS > IRONdb vs. NCache vs. openGauss vs. RDF4J

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

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonNCache  Xexclude from comparisonopenGauss  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 simplicityOpen-Source and Enterprise in-memory Key-Value StoreAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSKey-value storeRelational DBMSRDF store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#195  Overall
#29  Key-value stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.circonus.com/solutions/time-series-database/www.alachisoft.com/­ncachegitee.com/­opengauss
opengauss.org
rdf4j.org
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.alachisoft.com/­resources/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
rdf4j.org/­documentation
DeveloperCirconus LLC.AlachisoftHuawei and openGauss communitySince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2017200520192004
Current releaseV0.10.20, January 20185.3.3, April 20243.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availableOpen SourceOpen 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++C#, .NET, .NET Core, JavaC, C++, JavaJava
Server operating systemsLinuxLinux
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramspartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes
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)SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.ANSI SQL 2011no
APIs and other access methodsHTTP APIIDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
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
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C++
Java
Java
PHP
Python
Server-side scripts infoStored proceduresyes, in Luano infosupport for stored procedures with SQL-Server CLRyesyes
Triggersnoyes infoNotificationsyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeyeshorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyes, with selectable consistency levelSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesno
User concepts infoAccess controlnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
IRONdbNCacheopenGaussRDF4J 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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IRONdbNCacheopenGaussRDF4J infoformerly known as Sesame
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