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DBMS > Google BigQuery vs. Interbase

System Properties Comparison Google BigQuery vs. Interbase

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Our visitors often compare Google BigQuery and Interbase with Microsoft SQL Server, MySQL and PostgreSQL.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInterbase  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesLight-weight proven RDBMS infooriginally from Borland
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.47
Rank#28  Overall
#16  Relational DBMS
Score7.12
Rank#49  Overall
#30  Relational DBMS
Websitecloud.google.com/­bigquerywww.embarcadero.com/­products/­interbase
Technical documentationcloud.google.com/­bigquery/­docsdocs.embarcadero.com/­products/­interbase
DeveloperGoogleEmbarcadero
Initial release20101984
Current releaseInterBase 2017, March 2017
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 infoexport as XML data possible
Secondary indexesnoyes
SQL infoSupport of SQLyesyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoInterbase procedure and trigger language
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Views
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 integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny control
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.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Google BigQueryInterbase
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Recent citations in the news

Acquisitions to Fuel Programmable Analytics
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13 December 2018, Analytics India Magazine

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provided by Google News

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