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DBMS > Google BigQuery vs. Netezza vs. SQL.JS

System Properties Comparison Google BigQuery vs. Netezza vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesData warehouse and analytics appliance part of IBM PureSystemsPort of SQLite to JavaScript
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­netezzasql.js.org
Technical documentationcloud.google.com/­bigquery/­docssql.js.org/­documentation/­index.html
DeveloperGoogleIBMAlon Zakai infoenhancements implemented by others
Initial release201020002012
License infoCommercial or Open SourcecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScript
Server operating systemshostedLinux infoincluded in applianceserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyes
SQL infoSupport of SQLyesyesyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
OLE DB
JavaScript API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a file
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)Users with fine-grained authorization conceptno

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More resources
Google BigQueryNetezza infoAlso called PureData System for Analytics by IBMSQL.JS
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