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DBMS > Atos Standard Common Repository vs. FoundationDB vs. GridGain vs. H2 vs. OrigoDB

System Properties Comparison Atos Standard Common Repository vs. FoundationDB vs. GridGain vs. H2 vs. OrigoDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFoundationDB  Xexclude from comparisonGridGain  Xexclude from comparisonH2  Xexclude from comparisonOrigoDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksOrdered key-value store. Core features are complimented by layers.GridGain is an in-memory computing platform, built on Apache IgniteFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A fully ACID in-memory object graph database
Primary database modelDocument store
Key-value store
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­apple/­foundationdbwww.gridgain.comwww.h2database.comorigodb.com
Technical documentationapple.github.io/­foundationdbwww.gridgain.com/­docs/­index.htmlwww.h2database.com/­html/­main.htmlorigodb.com/­docs
DeveloperAtos Convergence CreatorsFoundationDBGridGain Systems, Inc.Thomas MuellerRobert Friberg et al
Initial release20162013200720052009 infounder the name LiveDB
Current release17036.2.28, November 2020GridGain 8.5.12.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, C++, .NetJavaC#
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateoptionalno infosome layers support typingyesyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
Java.Net
Server-side scripts infoStored proceduresnoin SQL-layer onlyyes (compute grid and cache interceptors can be used instead)Java Stored Procedures and User-Defined Functionsyes
Triggersyesnoyes (cache interceptors and events)yesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)With clustering: 2 database servers on different computers operate on identical copies of a databaseSource-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 configurationLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardRole based authorization

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More resources
Atos Standard Common RepositoryFoundationDBGridGainH2OrigoDB
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