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DBMS > Google BigQuery vs. Microsoft SQL Server vs. MonetDB vs. Oracle

System Properties Comparison Google BigQuery vs. Microsoft SQL Server vs. MonetDB vs. Oracle

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSA relational database management system that stores data in columnsWidely used RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Document 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
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Websitecloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-serverwww.monetdb.orgwww.oracle.com/­database
Technical documentationcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-US/­sql/­sql-serverwww.monetdb.org/­Documentationdocs.oracle.com/­en/­database
DeveloperGoogleMicrosoftMonetDB BVOracle
Initial release2010198920041980
Current releaseSQL Server 2022, November 2022Dec2023 (11.49), December 202323c, September 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoMozilla Public License 2.0commercial inforestricted free version is available
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++CC and C++
Server operating systemshostedLinux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesyes infoSQL 2003 with some extensionsyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
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 JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in SQL, C, RPL/SQL infoalso stored procedures in Java possible
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding via remote tablesSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionnone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes 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)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google BigQueryMicrosoft SQL ServerMonetDBOracle
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