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DBMS > Atos Standard Common Repository vs. BigObject vs. Google Cloud Spanner vs. RDFox

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Google Cloud Spanner vs. RDFox

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonGoogle Cloud Spanner  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 queriesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.High performance knowledge graph and semantic reasoning engine
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iocloud.google.com/­spannerwww.oxfordsemantic.tech
Technical documentationdocs.bigobject.iocloud.google.com/­spanner/­docsdocs.oxfordsemantic.tech
DeveloperAtos Convergence CreatorsBigObject, Inc.GoogleOxford Semantic Technologies
Initial release2016201520172017
Current release17036.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateoptionalyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
C
Java
Server-side scripts infoStored proceduresnoLuano
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication with 3 replicas for regional instances.replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Roles, resources, and access types

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More resources
Atos Standard Common RepositoryBigObjectGoogle Cloud SpannerRDFox
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