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DBMS > Google BigQuery vs. Interbase vs. Microsoft Access

System Properties Comparison Google BigQuery vs. Interbase vs. Microsoft Access

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesLight-weight proven RDBMS infooriginally from BorlandMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score41.26
Rank#24  Overall
#15  Relational DBMS
Score6.57
Rank#58  Overall
#32  Relational DBMS
Score113.45
Rank#11  Overall
#7  Relational DBMS
Websitecloud.google.com/­bigquerywww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationcloud.google.com/­bigquery/­docsdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­access
DeveloperGoogleEmbarcaderoMicrosoft
Initial release201019841992
Current releaseInterBase 2020, December 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
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 infoexport as XML data possible
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesyes infobut not compliant to any SQL standard
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engine
Triggersnoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction logging
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-standardno infoa simple user-level security was built in till version Access 2003

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More resources
Google BigQueryInterbaseMicrosoft Access
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