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DBMS > Google BigQuery vs. IBM Db2 warehouse vs. SQream DB vs. ToroDB

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

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSQream DB  Xexclude from comparisonToroDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesCloud-based data warehousing servicea GPU-based, columnar RDBMS for big data analytics workloadsA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score45.81
Rank#24  Overall
#16  Relational DBMS
Score1.93
Rank#124  Overall
#59  Relational DBMS
Score0.60
Rank#223  Overall
#108  Relational DBMS
Score0.02
Rank#338  Overall
#47  Document stores
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­db2-warehousesqream.comwww.torodb.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.sqream.comwww.torodb.com/­stampede/­docs
DeveloperGoogleIBMSQream Technologies8Kdata
Initial release2010201420142016
Current release2020.2, July 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, CUDA, HaskellJava
Server operating systemshostedhostedLinuxAll OS with a Java 7 VM
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes infostring, integer, double, boolean, date, object_id
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.nono infoImport/export of XML data possibleno
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
.Net
JDBC
ODBC
Supported programming languages.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 JavaScriptPL/SQL, SQL PLuser defined functions in Python
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDno
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.noyes
User concepts infoAccess controlAccess 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
Google BigQueryIBM Db2 warehouse infoformerly named IBM dashDBSQream DBToroDB
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