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DBMS > Amazon Redshift vs. Atos Standard Common Repository vs. Datomic vs. NSDb vs. RethinkDB

System Properties Comparison Amazon Redshift vs. Atos Standard Common Repository vs. Datomic vs. NSDb vs. RethinkDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonRethinkDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatomic 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 KubernetesDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.64
Rank#32  Overall
#18  Relational DBMS
Score1.96
Rank#119  Overall
#58  Relational DBMS
Score0.00
Rank#350  Overall
#31  Time Series DBMS
Score3.51
Rank#89  Overall
#15  Document stores
Websiteaws.amazon.com/­redshiftatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comnsdb.iorethinkdb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comnsdb.io/­Architecturerethinkdb.com/­docs
DeveloperAmazon (based on PostgreSQL)Atos Convergence CreatorsCognitectThe Linux Foundation infosince July 2017
Initial release20122016201220172009
Current release17030.9.5951, July 20192.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava, ClojureJava, ScalaC++
Server operating systemshostedLinuxAll OS with a Java VMLinux
macOS
Linux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes: int, bigint, decimal, stringyes infostring, binary, float, bool, date, geometry
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.noyesnonono
Secondary indexesrestrictedyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
LDAPRESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsClojure
Java
Java
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes infoTransaction Functionsno
TriggersnoyesBy using transaction functionsClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionnone infoBut extensive use of caching in the application peersShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyes 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.yesyesyes inforecommended only for testing and developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationnoyes infousers and table-level permissions

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More resources
Amazon RedshiftAtos Standard Common RepositoryDatomicNSDbRethinkDB
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