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DBMS > Atos Standard Common Repository vs. Ignite vs. OpenQM vs. Riak KV

System Properties Comparison Atos Standard Common Repository vs. Ignite vs. OpenQM vs. Riak KV

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIgnite  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRiak KV  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 networksApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.QpenQM is a high-performance, self-tuning, multi-value DBMSDistributed, fault tolerant key-value store
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Multivalue DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryignite.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationapacheignite.readme.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAtos Convergence CreatorsApache Software FoundationRocket Software, originally Martin PhillipsOpenSource, formerly Basho Technologies
Initial release2016201519932009
Current release1703Apache Ignite 2.63.4-123.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetErlang
Server operating systemsLinuxLinux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Data schemeSchema and schema-less with LDAP viewsyesyes infowith some exceptionsschema-free
Typing infopredefined data types such as float or dateoptionalyesno
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.yesyesyesno
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Native Erlang Interface
Supported programming languagesAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesErlang
Triggersyesyes (cache interceptors and events)yesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyesSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes
User concepts infoAccess controlLDAP bind authenticationSecurity Hooks for custom implementationsAccess rights can be defined down to the item levelyes, using Riak Security

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More resources
Atos Standard Common RepositoryIgniteOpenQM infoalso called QMRiak KV
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