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DBMS > Amazon Redshift vs. CouchDB vs. FeatureBase vs. Kinetica

System Properties Comparison Amazon Redshift vs. CouchDB vs. FeatureBase vs. Kinetica

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFeatureBase  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score7.46
Rank#51  Overall
#7  Document stores
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websiteaws.amazon.com/­redshiftcouchdb.apache.orgwww.featurebase.comwww.kinetica.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.couchdb.org/­en/­stabledocs.featurebase.comdocs.kinetica.com
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMolecula and Pilosa Open Source ContributorsKinetica
Initial release2012200520172012
Current release3.3.3, December 20232022, May 20227.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCErlangGoC, C++
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesrestrictedyes infovia viewsnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL queriesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin PythonView functions in JavaScriptuser defined functions
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseAccess rights for users and roles on table level

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More resources
Amazon RedshiftCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"FeatureBaseKinetica
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