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DBMS > Atos Standard Common Repository vs. Derby vs. Google Cloud Datastore vs. IBM Cloudant

System Properties Comparison Atos Standard Common Repository vs. Derby vs. Google Cloud Datastore vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Cloudant  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 networksFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDatabase as a Service offering based on Apache CouchDB
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorydb.apache.org/­derbycloud.google.com/­datastorewww.ibm.com/­products/­cloudant
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlcloud.google.com/­datastore/­docscloud.ibm.com/­docs/­Cloudant
DeveloperAtos Convergence CreatorsApache Software FoundationGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2016199720082010
Current release170310.17.1.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlang
Server operating systemsLinuxAll OS with a Java VMhostedhosted
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyes, details hereno
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.yesyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language (GQL)no
APIs and other access methodsLDAPJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresusing Google App EngineView functions (Map-Reduce) in JavaScript
TriggersyesyesCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication using PaxosMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic locking
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.yesyesnono
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)Access rights for users can be defined per database

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More resources
Atos Standard Common RepositoryDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGoogle Cloud DatastoreIBM Cloudant
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