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DBMS > Amazon Redshift vs. Yaacomo

System Properties Comparison Amazon Redshift vs. Yaacomo

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Our visitors often compare Amazon Redshift and Yaacomo with SingleStore, Greenplum and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.27
Rank#32  Overall
#18  Relational DBMS
Score0.01
Rank#346  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­redshiftyaacomo.com
Technical documentationdocs.aws.amazon.com/­redshift
DeveloperAmazon (based on PostgreSQL)Q2WEB GmbH
Initial release20122009
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedAndroid
Linux
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesrestrictedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresuser defined functions infoin Python
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftYaacomo
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