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DBMS > Atos Standard Common Repository vs. Blueflood vs. Greenplum vs. Yanza

System Properties Comparison Atos Standard Common Repository vs. Blueflood vs. Greenplum vs. Yanza

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBlueflood  Xexclude from comparisonGreenplum  Xexclude from comparisonYanza  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable TimeSeries DBMS based on CassandraAnalytic 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.Time Series DBMS for IoT Applications
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryblueflood.iogreenplum.orgyanza.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.greenplum.org
DeveloperAtos Convergence CreatorsRackspacePivotal Software Inc.Yanza
Initial release2016201320052015
Current release17037.0.0, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinuxLinux
OS X
LinuxWindows
Data schemeSchema and schema-less with LDAP viewspredefined schemeyesschema-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.yesnoyes infosince Version 4.2no
Secondary indexesyesnoyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsLDAPHTTP RESTJDBC
ODBC
HTTP API
Supported programming languagesAll languages with LDAP bindingsC
Java
Perl
Python
R
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyesno
Triggersyesnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
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.yesnono
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standardno

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More resources
Atos Standard Common RepositoryBluefloodGreenplumYanza
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