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DBMS > Atos Standard Common Repository vs. DataFS vs. GigaSpaces vs. Quasardb

System Properties Comparison Atos Standard Common Repository vs. DataFS vs. GigaSpaces vs. Quasardb

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDataFS  Xexclude from comparisonGigaSpaces  Xexclude from comparisonQuasardb  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 networksAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDistributed, high-performance timeseries database
Primary database modelDocument store
Key-value store
Object oriented DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMS
Secondary database modelsGraph DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorynewdatabase.comwww.gigaspaces.comquasar.ai
Technical documentationdev.mobiland.com/­Overview.xspdocs.gigaspaces.com/­latest/­landing.htmldoc.quasar.ai/­master
DeveloperAtos Convergence CreatorsMobiland AGGigaspaces Technologiesquasardb
Initial release2016201820002009
Current release17031.1.263, October 202215.5, September 20203.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetC++
Server operating systemsLinuxWindowsLinux
macOS
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes infointeger and binary
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 infoXML can be used for describing objects metadatano
Secondary indexesyesnoyesyes infowith tags
SQL infoSupport of SQLnonoSQL-99 for query and DML statementsSQL-like query language
APIs and other access methodsLDAP.NET Client API
Proprietary client DLL
WinRT client
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
VB.Net
.Net
C++
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesno
Triggersyesno, except callback-events from server when changes happenedyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionProprietary Sharding systemShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoTransient mode
User concepts infoAccess controlLDAP bind authenticationWindows-ProfileRole-based access controlCryptographically strong user authentication and audit trail

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More resources
Atos Standard Common RepositoryDataFSGigaSpacesQuasardb
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