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DBMS > Atos Standard Common Repository vs. Derby vs. GridGain vs. HBase vs. Realm

System Properties Comparison Atos Standard Common Repository vs. Derby vs. GridGain vs. HBase vs. Realm

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 comparisonGridGain  Xexclude from comparisonHBase  Xexclude from comparisonRealm  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.GridGain is an in-memory computing platform, built on Apache IgniteWide-column store based on Apache Hadoop and on concepts of BigTableA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument store
Key-value store
Relational DBMSKey-value store
Relational DBMS
Wide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score7.41
Rank#52  Overall
#8  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorydb.apache.org/­derbywww.gridgain.comhbase.apache.orgrealm.io
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlwww.gridgain.com/­docs/­index.htmlhbase.apache.org/­book.htmlrealm.io/­docs
DeveloperAtos Convergence CreatorsApache Software FoundationGridGain Systems, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetRealm, acquired by MongoDB in May 2019
Initial release20161997200720082014
Current release170310.17.1.0, November 2023GridGain 8.5.12.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoApache version 2Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .NetJava
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Android
Backend: server-less
iOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateoptionalyesyesoptions to bring your own types, AVROyes
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.yesyesyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsLDAPJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
Supported programming languagesAll languages with LDAP bindingsJavaC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)yes infoCoprocessors in Javano inforuns within the applications so server-side scripts are unnecessary
Triggersyesyesyes (cache interceptors and events)yesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes (replicated cache)Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes infoIn-Memory realm
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes

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