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DBMS > Amazon Redshift vs. Atos Standard Common Repository vs. Yaacomo

System Properties Comparison Amazon Redshift vs. Atos Standard Common Repository vs. Yaacomo

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionLarge scale data warehouse service for use with business intelligence toolsHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­redshiftatos.net/en/convergence-creators/portfolio/standard-common-repositoryyaacomo.com
Technical documentationdocs.aws.amazon.com/­redshift
DeveloperAmazon (based on PostgreSQL)Atos Convergence CreatorsQ2WEB GmbH
Initial release201220162009
Current release1703
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedLinuxAndroid
Linux
Windows
Data schemeyesSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateyesoptionalyes
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.noyesno
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes
APIs and other access methodsJDBC
ODBC
LDAPJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindings
Server-side scripts infoStored proceduresuser defined functions infoin Pythonno
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftAtos Standard Common RepositoryYaacomo
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29 February 2024, AWS Blog

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13 February 2024, AWS Blog

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