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DBMS > Atos Standard Common Repository vs. Cloudflare Workers KV vs. GridGain vs. RDF4J vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Cloudflare Workers KV vs. GridGain vs. RDF4J vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGridGain  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.GridGain is an in-memory computing platform, built on Apache IgniteRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Key-value storeKey-value store
Relational DBMS
RDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cloudflare.com/­developer-platform/­workers-kvwww.gridgain.comrdf4j.orgyaacomo.com
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.gridgain.com/­docs/­index.htmlrdf4j.org/­documentation
DeveloperAtos Convergence CreatorsCloudflareGridGain Systems, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Q2WEB GmbH
Initial release20162018200720042009
Current release1703GridGain 8.5.1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetJava
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Android
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateoptionalnoyesyesyes
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.yesnoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsLDAPHTTP REST
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java 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
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yes
Triggersyesnoyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID 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.yesnoyesyes
User concepts infoAccess controlLDAP bind authenticationSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryCloudflare Workers KVGridGainRDF4J infoformerly known as SesameYaacomo
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