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DBMS > Amazon Redshift vs. Databend vs. Microsoft Azure SQL Database vs. RethinkDB vs. Tkrzw

System Properties Comparison Amazon Redshift vs. Databend vs. Microsoft Azure SQL Database vs. RethinkDB vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatabend  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRethinkDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDatabase as a Service offering with high compatibility to Microsoft SQL ServerDBMS for the Web with a mechanism to push updated query results to applications in realtime.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­redshiftgithub.com/­datafuselabs/­databend
www.databend.com
azure.microsoft.com/­en-us/­products/­azure-sql/­databaserethinkdb.comdbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­redshiftdocs.databend.comdocs.microsoft.com/­en-us/­azure/­azure-sqlrethinkdb.com/­docs
DeveloperAmazon (based on PostgreSQL)Databend LabsMicrosoftThe Linux Foundation infosince July 2017Mikio Hirabayashi
Initial release20122021201020092020
Current release1.0.59, April 2023V122.4.1, August 20200.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCRustC++C++C++
Server operating systemshostedhosted
Linux
macOS
hostedLinux
OS X
Windows
Linux
macOS
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometryno
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.nonoyesnono
Secondary indexesrestrictednoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesnono
APIs and other access methodsJDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
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++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PythonnoTransact SQLno
TriggersnonoyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes, with always 3 replicas availableSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardyes infousers and table-level permissionsno

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More resources
Amazon RedshiftDatabendMicrosoft Azure SQL Database infoformerly SQL AzureRethinkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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