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DBMS > Amazon Redshift vs. Datomic vs. NSDb vs. Yaacomo

System Properties Comparison Amazon Redshift vs. Datomic vs. NSDb vs. Yaacomo

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityScalable, 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 DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.53
Rank#32  Overall
#18  Relational DBMS
Score1.93
Rank#120  Overall
#59  Relational DBMS
Score0.00
Rank#352  Overall
#33  Time Series DBMS
Score0.00
Rank#354  Overall
#143  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.datomic.comnsdb.ioyaacomo.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comnsdb.io/­Architecture
DeveloperAmazon (based on PostgreSQL)CognitectQ2WEB GmbH
Initial release2012201220172009
Current release0.9.5951, July 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ClojureJava, Scala
Server operating systemshostedAll OS with a Java VMLinux
macOS
Android
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: 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.nononono
Secondary indexesrestrictedyesall fields are automatically indexedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIgRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Java
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functionsno
TriggersnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Using Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Amazon RedshiftDatomicNSDbYaacomo
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