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

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

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonVelocityDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA 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 .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelWide column storeTime Series DBMSWide column storeRDF storeGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitehbase.apache.orgwww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orgvelocitydb.com
Technical documentationhbase.apache.org/­book.htmldocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationvelocitydb.com/­UserGuide
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetCirconus LLC.MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.VelocityDB Inc
Initial release20082017201220042011
Current release2.3.4, January 2021V0.10.20, January 20187.x
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaC#
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxhostedLinux
OS X
Unix
Windows
Any that supports .NET
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes 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.nononono
Secondary indexesnononoyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)nonono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP APIRESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.Net
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.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
.Net
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes, in Luanoyesno
TriggersyesnonoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable 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 methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate 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 dataSingle row ACID (across millions of columns)nooptimistic lockingACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights based on private key authentication or shared access signaturesnoBased on Windows Authentication

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More resources
HBaseIRONdbMicrosoft Azure Table StorageRDF4J infoformerly known as SesameVelocityDB
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