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DBMS > Amazon Redshift vs. CouchDB vs. Google Cloud Firestore vs. SQream DB

System Properties Comparison Amazon Redshift vs. CouchDB vs. Google Cloud Firestore vs. SQream DB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSQream DB  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.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­redshiftcouchdb.apache.orgfirebase.google.com/­products/­firestoresqream.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­firestoredocs.sqream.com
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleSQream Technologies
Initial release2012200520172017
Current release3.3.3, December 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCErlangC++, CUDA, Haskell, Java, Scala
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Types
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.nonono
Secondary indexesrestrictedyes infovia viewsyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.Net
JDBC
ODBC
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
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin PythonView functions in JavaScriptyes, Firebase Rules & Cloud Functionsuser defined functions in Python
Triggersnoyesyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0Shardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Amazon RedshiftCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud FirestoreSQream DB
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