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

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

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 comparisonStardog  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 workloadsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
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
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­redshiftcloud.google.com/­bigquerywww.ibm.com/­products/­db2/­warehousesqream.comwww.stardog.com
Technical documentationdocs.aws.amazon.com/­redshiftcloud.google.com/­bigquery/­docsdocs.sqream.comdocs.stardog.com
DeveloperAmazon (based on PostgreSQL)GoogleIBMSQream TechnologiesStardog-Union
Initial release20122010201420172010
Current release2022.1.6, December 20227.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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, ScalaJava
Server operating systemshostedhostedhostedLinuxLinux
macOS
Windows
Data schemeyesyesyesyesschema-free and OWL/RDFS-schema support
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 possibleno infoImport/export of XML data possible
Secondary indexesrestrictednoyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
.Net
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
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
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions infoin JavaScriptPL/SQL, SQL PLuser defined functions in Pythonuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-source replication in HA-Cluster
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 in HA-Cluster
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesnoyes inforelationships in graphs
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.yesnoyesyes
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-standardAccess rights for users and roles

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More resources
Amazon RedshiftGoogle BigQueryIBM Db2 warehouse infoformerly named IBM dashDBSQream DBStardog
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