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DBMS > IRONdb vs. Microsoft Azure Table Storage vs. RDF4J vs. RisingWave vs. VelocityDB

System Properties Comparison IRONdb vs. Microsoft Azure Table Storage vs. RDF4J vs. RisingWave vs. VelocityDB

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRisingWave  Xexclude from comparisonVelocityDB  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 datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A distributed RDBMS for stream processing, wire-compatible with PostgreSQLA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSWide column storeRDF storeRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orgwww.risingwave.com/­databasevelocitydb.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationdocs.risingwave.com/­docs/­current/­introvelocitydb.com/­UserGuide
DeveloperCirconus LLC.MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.RisingWave LabsVelocityDB Inc
Initial release20172012200420222011
Current releaseV0.10.20, January 20181.2, September 20237.x
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaRustC#
Server operating systemsLinuxhostedLinux
OS X
Unix
Windows
Docker
Linux
macOS
Any that supports .NET
Data schemeschema-freeschema-freeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesStandard SQL-types and JSONyes
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.nononono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonoyesno
APIs and other access methodsHTTP APIRESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
PostgreSQL wire protocol
.Net
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
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresyes, in LuanoyesUDFs in Python or Javano
TriggersnonoyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicenoneSharding
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.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID infoIsolation support depends on the API usednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesyes
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesnoUsers and RolesBased on Windows Authentication

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More resources
IRONdbMicrosoft Azure Table StorageRDF4J infoformerly known as SesameRisingWaveVelocityDB
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