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DBMS > Atos Standard Common Repository vs. FileMaker vs. Hazelcast vs. IRONdb vs. RDF4J

System Properties Comparison Atos Standard Common Repository vs. FileMaker vs. Hazelcast vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFileMaker  Xexclude from comparisonHazelcast  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFileMaker is a cross-platform RDBMS that includes a GUI frontend.A widely adopted in-memory data gridA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Key-value store
Relational DBMSKey-value storeTime Series DBMSRDF store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.claris.com/­filemakerhazelcast.comwww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationwww.claris.com/­resources/­documentationhazelcast.org/­imdg/­docsdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperAtos Convergence CreatorsClaris infoa subsidiary of AppleHazelcastCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20161983200820172004
Current release170319.4.1, November 20215.3.6, November 2023V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++Java
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMLinuxLinux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateoptionalyesyesyes infotext, numeric, histogramsyes
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.yesyes infoA http query request can return the data in XML formatyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyes infovia pluginsSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsLDAPFilemaker WebDirect
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages with LDAP bindingsPHP.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesyes infoEvent Listeners, Executor Servicesyes, in Luayes
Triggersyesyesyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14yes infoReplicated Mapconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoone or two-phase-commit; repeatable reads; read commitednoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesyesno
User concepts infoAccess controlLDAP bind authenticationsimple rights management via user accounts and connection to external directory servicesRole-based access controlnono

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More resources
Atos Standard Common RepositoryFileMakerHazelcastIRONdbRDF4J infoformerly known as Sesame
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