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DBMS > Atos Standard Common Repository vs. GeoSpock vs. Greenplum vs. Hive vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. GeoSpock vs. Greenplum vs. Hive vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparisonHive  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.data warehouse software for querying and managing large distributed datasets, built on HadoopOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comgreenplum.orghive.apache.orgyaacomo.com
Technical documentationdocs.greenplum.orgcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAtos Convergence CreatorsGeoSpockPivotal Software Inc.Apache Software Foundation infoinitially developed by FacebookQ2WEB GmbH
Initial release2016200520122009
Current release17032.0, September 20197.0.0, September 20233.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJava
Server operating systemsLinuxhostedLinuxAll OS with a Java VMAndroid
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnoyes infosince Version 4.2no
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yesSQL-like DML and DDL statementsyes
APIs and other access methodsLDAPJDBCJDBC
ODBC
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC
Java
Perl
Python
R
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyesyes infouser defined functions and integration of map-reduce
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryGeoSpockGreenplumHiveYaacomo
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