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DBMS > Google BigQuery vs. Microsoft Access vs. Oracle vs. Prometheus

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

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle  Xexclude from comparisonPrometheus  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 RDBMSOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series 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
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score1234.27
Rank#1  Overall
#1  Relational DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Websitecloud.google.com/­bigquerywww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­databaseprometheus.io
Technical documentationcloud.google.com/­bigquery/­docsdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­databaseprometheus.io/­docs
DeveloperGoogleMicrosoftOracle
Initial release2010199219802015
Current release1902 (16.0.11328.20222), March 201923c, September 2023
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++Go
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Windows
Data schemeyesyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.noyesno infoImport of XML data possible
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardyes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP/JSON API
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
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infosince Access 2010 using the ACE-enginePL/SQL infoalso stored procedures in Java possibleno
Triggersnoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesno
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 parameterizedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
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'no
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-standardno

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More resources
Google BigQueryMicrosoft AccessOraclePrometheus
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