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DBMS > Google BigQuery vs. Microsoft Access vs. Oracle

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

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesMicrosoft 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.)Widely used RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.88
Rank#19  Overall
#13  Relational DBMS
Score95.91
Rank#13  Overall
#9  Relational DBMS
Score1226.57
Rank#1  Overall
#1  Relational DBMS
Websitecloud.google.com/­bigquerywww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database
Technical documentationcloud.google.com/­bigquery/­docsdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­database
DeveloperGoogleMicrosoftOracle
Initial release201019921980
Current release1902 (16.0.11328.20222), March 201923c, September 2023
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesyes infoSchemaless in JSON and XML columns
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infosince Access 2010 using the ACE-enginePL/SQL infoalso stored procedures in Java possible
Triggersnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQL
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 dataACID infobut no files for transaction loggingACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
Google BigQueryMicrosoft AccessOracle
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