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DBMS > Atos Standard Common Repository vs. Cloudflare Workers KV vs. Dgraph vs. Google BigQuery vs. Microsoft Access

System Properties Comparison Atos Standard Common Repository vs. Cloudflare Workers KV vs. Dgraph vs. Google BigQuery vs. Microsoft Access

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDgraph  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Access  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 networksA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Distributed and scalable native Graph DBMSLarge scale data warehouse service with append-only tablesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument store
Key-value store
Key-value storeGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cloudflare.com/­developer-platform/­workers-kvdgraph.iocloud.google.com/­bigquerywww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdevelopers.cloudflare.com/­kv/­apidgraph.io/­docscloud.google.com/­bigquery/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperAtos Convergence CreatorsCloudflareDgraph Labs, Inc.GoogleMicrosoft
Initial release20162018201620101992
Current release17031902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemsLinuxhostedLinux
OS X
Windows
hostedWindows infoNot a real database server, but making use of DLLs
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
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.yesnonono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnononoyesyes infobut not compliant to any SQL standard
APIs and other access methodsLDAPHTTP REST
Proprietary protocol
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnononouser defined functions infoin JavaScriptyes infosince Access 2010 using the ACE-engine
Triggersyesnononoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSynchronous replication via Raftnone
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDno infoSince BigQuery is designed for querying dataACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationno infoPlanned for future releasesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no infoa simple user-level security was built in till version Access 2003

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More resources
Atos Standard Common RepositoryCloudflare Workers KVDgraphGoogle BigQueryMicrosoft Access
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