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DBMS > Atos Standard Common Repository vs. Hive vs. Hypertable

System Properties Comparison Atos Standard Common Repository vs. Hive vs. Hypertable

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonHypertable  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksdata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument store
Key-value store
Relational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookHypertable Inc.
Initial release201620122009
Current release17033.1.3, April 20220.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeSchema and schema-less with LDAP viewsyesschema-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.yes
Secondary indexesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsLDAPJDBC
ODBC
Thrift
C++ API
Thrift
Supported programming languagesAll languages with LDAP bindingsC++
Java
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and rolesno

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Atos Standard Common RepositoryHiveHypertable
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