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DBMS > Amazon Redshift vs. DolphinDB vs. Firebase Realtime Database

System Properties Comparison Amazon Redshift vs. DolphinDB vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDolphinDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelRelational DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.85
Rank#31  Overall
#18  Relational DBMS
Score1.24
Rank#157  Overall
#11  Time Series DBMS
Score19.36
Rank#36  Overall
#5  Document stores
Websiteaws.amazon.com/­redshiftwww.dolphindb.comfirebase.google.com/­products/­realtime-database
Technical documentationdocs.aws.amazon.com/­redshiftwww.dolphindb.com/­helpfirebase.google.com/­docs/­database
DeveloperAmazon (based on PostgreSQL)DolphinDB, IncGoogle infoacquired by Google 2014
Initial release201220182012
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedLinux
Windows
hosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesrestrictednoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languageno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Java
JavaScript
Python
R
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyeslimited functionality with using 'rules'
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, Groupsyes, based on authentication and database rules

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More resources
Amazon RedshiftDolphinDBFirebase Realtime Database
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Recent citations in the news

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6 December 2021, ZDNet

AWS Introduces Amazon Redshift Serverless
1 December 2021, InfoQ.com

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11 March 2020, Database Journal

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