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DBMS > Amazon Redshift vs. Datomic vs. Hypertable vs. NSDb vs. RethinkDB

System Properties Comparison Amazon Redshift vs. Datomic vs. Hypertable vs. NSDb vs. RethinkDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonNSDb  Xexclude from comparisonRethinkDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is 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 durabilityAn open source BigTable implementation based on distributed file systems such as HadoopScalable, 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 DBMSRelational DBMSWide column storeTime 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/­redshiftwww.datomic.comnsdb.iorethinkdb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comnsdb.io/­Architecturerethinkdb.com/­docs
DeveloperAmazon (based on PostgreSQL)CognitectHypertable Inc.The Linux Foundation infosince July 2017
Initial release20122012200920172009
Current release0.9.5951, July 20190.9.8.11, March 20162.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availableOpen 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 languageCJava, ClojureC++Java, ScalaC++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes: 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.nononono
Secondary indexesrestrictedyesrestricted infoonly exact value or prefix value scansall fields are automatically indexedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIC++ API
Thrift
gRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C++
Java
Perl
PHP
Python
Ruby
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 Pythonyes infoTransaction Functionsnono
TriggersnoBy using transaction functionsnoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate 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 dataACIDACIDnonoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing 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 developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyes infousers and table-level permissions

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More resources
Amazon RedshiftDatomicHypertableNSDbRethinkDB
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