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

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  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 toolsLarge 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 DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score1.61
Rank#156  Overall
#71  Relational DBMS
Score0.72
Rank#235  Overall
#108  Relational DBMS
Websiteaws.amazon.com/­redshiftcloud.google.com/­bigquerywww.ibm.com/­products/­db2/­warehousesqream.com
Technical documentationdocs.aws.amazon.com/­redshiftcloud.google.com/­bigquery/­docsdocs.sqream.com
DeveloperAmazon (based on PostgreSQL)GoogleIBMSQream Technologies
Initial release2012201020142017
Current release2022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++, CUDA, Haskell, Java, Scala
Server operating systemshostedhostedhostedLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, 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 infoImport/export of XML data possible
Secondary indexesrestrictednoyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.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 Pythonuser defined functions infoin JavaScriptPL/SQL, SQL PLuser defined functions in Python
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess 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 RedshiftGoogle BigQueryIBM Db2 warehouse infoformerly named IBM dashDBSQream DB
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