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

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonEhcache  Xexclude from comparisonNSDb  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 durabilityA widely adopted Java cache with tiered storage optionsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.86
Rank#33  Overall
#19  Relational DBMS
Score1.86
Rank#124  Overall
#61  Relational DBMS
Score6.81
Rank#57  Overall
#7  Key-value stores
Score0.00
Rank#348  Overall
#33  Time Series DBMS
Websiteaws.amazon.com/­redshiftwww.datomic.comwww.ehcache.orgnsdb.io
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comwww.ehcache.org/­documentationnsdb.io/­Architecture
DeveloperAmazon (based on PostgreSQL)CognitectTerracotta Inc, owned by Software AG
Initial release2012201220092017
Current release0.9.5951, July 20193.8.1, September 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0
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, ClojureJavaJava, Scala
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMLinux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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 indexesrestrictedyesnoall fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJCachegRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
JavaJava
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functionsnono
TriggersnoBy using transaction functionsyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infosupports JTA and can work as an XA resourceno
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)yes infousing a tiered cache-storage approachUsing Apache Lucene
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-standardnono

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More resources
Amazon RedshiftDatomicEhcacheNSDb
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ASU's data warehouse migration to the cloud proves valuable
2 August 2021, Arizona State University

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15 April 2021, Blocks and Files

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26 July 2021, Market Research Telecast

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