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DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. Kingbase vs. Riak KV

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. Kingbase vs. Riak KV

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKingbase  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 networksHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Distributed, fault tolerant key-value store
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.hawkular.orgwww.kingbase.com.cn
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAtos Convergence CreatorsCommunity supported by Red HatBeiJing KINGBASE Information technologies inc.OpenSource, formerly Basho Technologies
Initial release2016201419992009
Current release1703V8.0, August 20213.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache version 2, commercial enterprise edition
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 languageJavaJavaC and JavaErlang
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Linux
OS X
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesno
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.yesnoyesno
Secondary indexesyesnoyesrestricted
SQL infoSupport of SQLnonoStandard with numerous extensionsno
APIs and other access methodsLDAPHTTP RESTADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP API
Native Erlang Interface
Supported programming languagesAll languages with LDAP bindingsGo
Java
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
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 proceduresnonouser defined functionsErlang
Triggersyesyes infovia Hawkular Alertingyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on Cassandrahorizontal partitioning (by range, list and hash) and vertical partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDno
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.yesno
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standardyes, using Riak Security

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More resources
Atos Standard Common RepositoryHawkular MetricsKingbaseRiak KV
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