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DBMS > IRONdb vs. Microsoft Azure Table Storage vs. RavenDB vs. RDF4J vs. Valentina Server

System Properties Comparison IRONdb vs. Microsoft Azure Table Storage vs. RavenDB vs. RDF4J vs. Valentina Server

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonValentina Server  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 simplicityA Wide Column Store for rapid development using massive semi-structured datasetsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Object-relational database and reports server
Primary database modelTime Series DBMSWide column storeDocument storeRDF storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­storage/­tablesravendb.netrdf4j.orgwww.valentina-db.net
Technical documentationdocs.circonus.com/irondb/category/getting-startedravendb.net/­docsrdf4j.org/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCirconus LLC.MicrosoftHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Paradigma Software
Initial release20172012201020041999
Current releaseV0.10.20, January 20185.4, July 20225.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C#Java
Server operating systemsLinuxhostedLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesnoyesyes
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.nono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language (RQL)noyes
APIs and other access methodsHTTP APIRESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ODBC
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
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes, in Luanoyesyesyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID, Cluster-wide transaction availableACID 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 wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesAuthorization levels configured per client per databasenofine grained access rights according to SQL-standard

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More resources
IRONdbMicrosoft Azure Table StorageRavenDBRDF4J infoformerly known as SesameValentina Server
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