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

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

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 comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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 workloadsPlatform for big data analytics on multistructured data sources and types
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
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/­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 TechnologiesTeradata
Initial release20122010201420172005
Current release2022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, CUDA, Haskell, Java, Scala
Server operating systemshostedhostedhostedLinuxLinux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesyes
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 possibleyes infoin Aster File Store
Secondary indexesrestrictednoyesnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
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
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions infoin JavaScriptPL/SQL, SQL PLuser defined functions in PythonR packages
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACIDACID
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.yesnoyesno
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-standardfine grained access rights according to SQL-standard

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon RedshiftGoogle BigQueryIBM Db2 warehouse infoformerly named IBM dashDBSQream DBTeradata Aster
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