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DBMS > Atos Standard Common Repository vs. Brytlyt vs. Google Cloud Spanner vs. RDF4J vs. SwayDB

System Properties Comparison Atos Standard Common Repository vs. Brytlyt vs. Google Cloud Spanner vs. RDF4J vs. SwayDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  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 networksScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA 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.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRDF storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.iocloud.google.com/­spannerrdf4j.orgswaydb.simer.au
Technical documentationdocs.brytlyt.iocloud.google.com/­spanner/­docsrdf4j.org/­documentation
DeveloperAtos Convergence CreatorsBrytlytGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer Plaha
Initial release20162016201720042018
Current release17035.0, August 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAJavaScala
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesno
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 infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesyes infoQuery statements complying to ANSI 2011nono
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Java
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnoyesno
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication with 3 replicas for regional instances.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoStrict serializable isolationACID infoIsolation support depends on the API usedAtomic execution of operations
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 authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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More resources
Atos Standard Common RepositoryBrytlytGoogle Cloud SpannerRDF4J infoformerly known as SesameSwayDB
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