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DBMS > Google BigQuery vs. SWC-DB

System Properties Comparison Google BigQuery vs. SWC-DB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score56.46
Rank#20  Overall
#14  Relational DBMS
Score0.01
Rank#401  Overall
#13  Wide column stores
Websitecloud.google.com/­bigquerygithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationcloud.google.com/­bigquery/­docs
DeveloperGoogleAlex Kashirin
Initial release20102020
Current release0.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyes
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
Secondary indexesno
SQL infoSupport of SQLyesSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocol
Thrift
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
Google BigQuerySWC-DB infoSuper Wide Column Database
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