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DBMS > Atos Standard Common Repository vs. Hive vs. IRONdb vs. RDF4J vs. SAP HANA

System Properties Comparison Atos Standard Common Repository vs. Hive vs. IRONdb vs. RDF4J vs. SAP HANA

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP HANA  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 networksdata warehouse software for querying and managing large distributed datasets, built on HadoopA 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.In-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSRDF storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score0.72
Rank#234  Overall
#9  RDF stores
Score45.49
Rank#22  Overall
#16  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orgwww.circonus.com/solutions/time-series-database/rdf4j.orgwww.sap.com/­products/­hana.html
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationhelp.sap.com/­hana
DeveloperAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP
Initial release20162012201720042010
Current release17033.1.3, April 2022V0.10.20, January 20182.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++Java
Server operating systemsLinuxAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Appliance or cloud-service
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateoptionalyesyes infotext, numeric, histogramsyesyes
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.yesnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsLDAPJDBC
ODBC
Thrift
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC++
Java
PHP
Python
.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 proceduresnoyes infouser defined functions and integration of map-reduceyes, in LuayesSQLScript, R
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingAutomatic, metric affinity per nodenoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorconfigurable replication factor, datacenter awarenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID 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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and rolesnonoyes

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More resources
Atos Standard Common RepositoryHiveIRONdbRDF4J infoformerly known as SesameSAP HANA
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