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DBMS > Atos Standard Common Repository vs. HBase vs. HugeGraph vs. Riak KV

System Properties Comparison Atos Standard Common Repository vs. HBase vs. HugeGraph vs. Riak KV

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHBase  Xexclude from comparisonHugeGraph  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 networksWide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMSDistributed, fault tolerant key-value store
Primary database modelDocument store
Key-value store
Wide column storeGraph 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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationhbase.apache.org/­book.htmlhugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAtos Convergence CreatorsApache Software Foundation infoApache top-level project, originally developed by PowersetBaiduOpenSource, formerly Basho Technologies
Initial release2016200820182009
Current release17032.3.4, January 20210.93.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2.0Open 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 languageJavaJavaJavaErlang
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
Linux
OS X
Data schemeSchema and schema-less with LDAP viewsschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateoptionaloptions to bring your own types, AVROyesno
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.yesnonono
Secondary indexesyesnoyes infoalso supports composite index and range indexrestricted
SQL infoSupport of SQLnononono
APIs and other access methodsLDAPJava API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Groovy
Java
PHP
Python
Scala
Groovy
Java
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 infoCoprocessors in Javaasynchronous Gremlin script jobsErlang
Triggersyesyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsSingle row ACID (across millions of columns)ACIDno
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.yesyesyes
User concepts infoAccess controlLDAP bind authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsyes, using Riak Security

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More resources
Atos Standard Common RepositoryHBaseHugeGraphRiak KV
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