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DBMS > Atos Standard Common Repository vs. BigObject vs. Blueflood vs. GigaSpaces vs. RDFox

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Blueflood vs. GigaSpaces vs. RDFox

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonBlueflood  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRDFox  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAnalytic DBMS for real-time computations and queriesScalable TimeSeries DBMS based on CassandraHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
RDF store
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.ioblueflood.iowww.gigaspaces.comwww.oxfordsemantic.tech
Technical documentationdocs.bigobject.iogithub.com/­rax-maas/­blueflood/­wikidocs.gigaspaces.com/­latest/­landing.htmldocs.oxfordsemantic.tech
DeveloperAtos Convergence CreatorsBigObject, Inc.RackspaceGigaspaces TechnologiesOxford Semantic Technologies
Initial release20162015201320002017
Current release170315.5, September 20206.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, C++, .NetC++
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Linux
macOS
Solaris
Windows
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyespredefined schemeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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 infoXML can be used for describing objects metadata
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-99 for query and DML statementsno
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
HTTP RESTGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP API
SPARQL 1.1
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
Python
Scala
C
Java
Server-side scripts infoStored proceduresnoLuanoyes
Triggersyesnonoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor infobased on CassandraMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlLDAP bind authenticationnonoRole-based access controlRoles, resources, and access types

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More resources
Atos Standard Common RepositoryBigObjectBluefloodGigaSpacesRDFox
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