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

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonNSDb  Xexclude from comparisonXTDB infoformerly named Crux  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 KubernetesA general purpose database with bitemporal SQL and Datalog and graph queriesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.37
Rank#32  Overall
#18  Relational DBMS
Score0.00
Rank#360  Overall
#37  Time Series DBMS
Score0.02
Rank#339  Overall
#48  Document stores
Score0.01
Rank#348  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­redshiftnsdb.iogithub.com/­xtdb/­xtdb
xtdb.com
yaacomo.com
Technical documentationdocs.aws.amazon.com/­redshiftnsdb.io/­Architecturextdb.com/­docs
DeveloperAmazon (based on PostgreSQL)Juxt Ltd.Q2WEB GmbH
Initial release2012201720192009
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ScalaClojure
Server operating systemshostedLinux
macOS
All OS with a Java 8 (and higher) VM
Linux
Android
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes, extensible-data-notation formatyes
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 indexesrestrictedall fields are automatically indexedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languagelimited SQL, making use of Apache Calciteyes
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
WebSocket
HTTP REST
JDBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
Scala
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, each node contains all dataSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
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 RedshiftNSDbXTDB infoformerly named CruxYaacomo
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