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DBMS > Amazon Redshift vs. NSDb vs. Yaacomo

System Properties Comparison Amazon Redshift vs. NSDb vs. Yaacomo

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonNSDb  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.86
Rank#32  Overall
#18  Relational DBMS
Score0.00
Rank#350  Overall
#32  Time Series DBMS
Score0.00
Rank#351  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­redshiftnsdb.ioyaacomo.com
Technical documentationdocs.aws.amazon.com/­redshiftnsdb.io/­Architecture
DeveloperAmazon (based on PostgreSQL)Q2WEB GmbH
Initial release201220172009
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
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, Scala
Server operating systemshostedLinux
macOS
Android
Linux
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes
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.nonono
Secondary indexesrestrictedall fields are automatically indexedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
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 RedshiftNSDbYaacomo
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