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DBMS > Amazon Redshift vs. Datomic vs. NSDb vs. RethinkDB vs. Teradata Aster

System Properties Comparison Amazon Redshift vs. Datomic vs. NSDb vs. RethinkDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonRethinkDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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 KubernetesDBMS for the Web with a mechanism to push updated query results to applications in realtime.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeRelational DBMS
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/­redshiftwww.datomic.comnsdb.iorethinkdb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comnsdb.io/­Architecturerethinkdb.com/­docs
DeveloperAmazon (based on PostgreSQL)CognitectThe Linux Foundation infosince July 2017Teradata
Initial release20122012201720092005
Current release0.9.5951, July 20192.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial
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 languageCJava, ClojureJava, ScalaC++
Server operating systemshostedAll OS with a Java VMLinux
macOS
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infostring, binary, float, bool, date, geometryyes
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.nonononoyes infoin Aster File Store
Secondary indexesrestrictedyesall fields are automatically indexedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCClojure
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
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction FunctionsnoR packages
TriggersnoBy using transaction functionsClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Using Apache Luceneyesyes
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 developmentnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infousers and table-level permissionsfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftDatomicNSDbRethinkDBTeradata Aster
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