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DBMS > Amazon Redshift vs. Databend vs. Google BigQuery vs. IBM Db2 warehouse vs. SQream DB

System Properties Comparison Amazon Redshift vs. Databend vs. Google BigQuery vs. IBM Db2 warehouse vs. SQream DB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatabend  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSQream DB  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 complexityLarge scale data warehouse service with append-only tablesCloud-based data warehousing servicea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational 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
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteaws.amazon.com/­redshiftgithub.com/­datafuselabs/­databend
www.databend.com
cloud.google.com/­bigquerywww.ibm.com/­products/­db2/­warehousesqream.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.databend.comcloud.google.com/­bigquery/­docsdocs.sqream.com
DeveloperAmazon (based on PostgreSQL)Databend LabsGoogleIBMSQream Technologies
Initial release20122021201020142017
Current release1.0.59, April 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCRustC++, CUDA, Haskell, Java, Scala
Server operating systemshostedhosted
Linux
macOS
hostedhostedLinux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, 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.nononono infoImport/export of XML data possible
Secondary indexesrestrictednonoyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesyesyes
APIs and other access methodsJDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnouser defined functions infoin JavaScriptPL/SQL, SQL PLuser defined functions in Python
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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 systemnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Amazon RedshiftDatabendGoogle BigQueryIBM Db2 warehouse infoformerly named IBM dashDBSQream DB
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