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DBMS > Atos Standard Common Repository vs. GridGain vs. Interbase vs. Quasardb

System Properties Comparison Atos Standard Common Repository vs. GridGain vs. Interbase vs. Quasardb

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGridGain  Xexclude from comparisonInterbase  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 networksGridGain is an in-memory computing platform, built on Apache IgniteLight-weight proven RDBMS infooriginally from BorlandDistributed, high-performance timeseries database
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gridgain.comwww.embarcadero.com/­products/­interbasequasar.ai
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.embarcadero.com/­products/­interbasedoc.quasar.ai/­master
DeveloperAtos Convergence CreatorsGridGain Systems, Inc.Embarcaderoquasardb
Initial release2016200719842009
Current release1703GridGain 8.5.1InterBase 2020, December 20193.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial 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++, .NetCC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Android
iOS
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-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.yesyesno infoexport as XML data possibleno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesSQL-like query language
APIs and other access methodsLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infoInterbase procedure and trigger languageno
Triggersyesyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Interbase Change ViewsSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
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.yesyesyesyes infoTransient mode
User concepts infoAccess controlLDAP bind authenticationSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Atos Standard Common RepositoryGridGainInterbaseQuasardb
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