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

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

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Table Storage  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 simplicityAn open source graph database built for real-time streaming and compatible with Neo4jA 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.
Primary database modelTime Series DBMSGraph DBMSWide column storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.circonus.com/solutions/time-series-database/memgraph.comazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationdocs.circonus.com/irondb/category/getting-startedmemgraph.com/­docsrdf4j.org/­documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCirconus LLC.Memgraph LtdMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2017201720122004
Current releaseV0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C and C++Java
Server operating systemsLinuxLinuxhostedLinux
OS X
Unix
Windows
Data schemeschema-freeschema-free and schema-optionalschema-freeyes 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 indexesnonoyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonono
APIs and other access methodsHTTP APIBolt protocol
Cypher query language
RESTful HTTP APIJava 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++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyes, in Luanoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMulti-source replication using RAFTyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
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 integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationoptimistic lockingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes 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 controlnoUsers, roles and permissionsAccess rights based on private key authentication or shared access signaturesno
More information provided by the system vendor
IRONdbMemgraphMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
IRONdbMemgraphMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
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