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DBMS > IRONdb vs. Microsoft Azure Table Storage vs. QuestDB vs. RDF4J

System Properties Comparison IRONdb vs. Microsoft Azure Table Storage vs. QuestDB vs. RDF4J

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonQuestDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
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 datasetsA high performance, low latency Time Series DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSWide column storeTime Series DBMSRDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#305  Overall
#26  Time Series DBMS
Score4.86
Rank#65  Overall
#5  Wide column stores
Score0.18
Rank#261  Overall
#19  Time Series DBMS
Score0.39
Rank#223  Overall
#11  RDF stores
Websitewww.irondb.ioazure.microsoft.com/­en-us/­services/­storage/­tableswww.questdb.iordf4j.org
Technical documentationwww.irondb.io/­docswww.questdb.io/­docs/­docstructuredocs.rdf4j.org
DeveloperCirconus LLC.MicrosoftQuestDB LimitedSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2017201220142004
Current releaseV0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaJava
Server operating systemsLinuxhostedLinux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes 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.nonono
Secondary indexesnononoyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query languageno
APIs and other access methodsHTTP APIRESTful HTTP APIHTTP RESTJava 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
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaJava
PHP
Python
Server-side scripts infoStored proceduresyes, in Luanonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)none
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.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID for single-table writesACID 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.nonono
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesno
More information provided by the system vendor
IRONdbMicrosoft Azure Table StorageQuestDBRDF4J infoformerly known as Sesame
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more

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More resources
IRONdbMicrosoft Azure Table StorageQuestDBRDF4J infoformerly known as Sesame
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