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DBMS > Atos Standard Common Repository vs. Blueflood vs. HEAVY.AI vs. IRONdb vs. RDF4J

System Properties Comparison Atos Standard Common Repository vs. Blueflood vs. HEAVY.AI vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBlueflood  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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 networksScalable TimeSeries DBMS based on CassandraA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA 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
Time Series DBMSRelational DBMSTime Series DBMSRDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryblueflood.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.heavy.aidocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperAtos Convergence CreatorsRackspaceHEAVY.AI, Inc.Circonus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162013201620172004
Current release17035.10, January 2022V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition 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 CUDAC and C++Java
Server operating systemsLinuxLinux
OS X
LinuxLinuxLinux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewspredefined schemeyesschema-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.yesnonono
Secondary indexesyesnononoyes
SQL infoSupport of SQLnonoyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsLDAPHTTP RESTJDBC
ODBC
Thrift
Vega
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 bindingsAll languages supporting JDBC/ODBC/Thrift
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 proceduresnononoyes, in Luayes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraSharding infoRound robinAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraMulti-source replicationconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononoACID 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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standardnono

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More resources
Atos Standard Common RepositoryBluefloodHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IRONdbRDF4J infoformerly known as Sesame
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