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DBMS > Google BigQuery vs. Microsoft SQL Server vs. Milvus vs. Oracle vs. SAP HANA

System Properties Comparison Google BigQuery vs. Microsoft SQL Server vs. Milvus vs. Oracle vs. SAP HANA

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonMilvus  Xexclude from comparisonOracle  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesWidely used RDBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
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
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score43.92
Rank#25  Overall
#16  Relational DBMS
Score970.85
Rank#3  Overall
#3  Relational DBMS
Score0.26
Rank#277  Overall
#11  Multivalue DBMS
Score1271.55
Rank#1  Overall
#1  Relational DBMS
Score56.24
Rank#19  Overall
#12  Relational DBMS
Websitecloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-servermilvus.iowww.oracle.com/­databasewww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigquery/­docsdocs.microsoft.com/­en-US/­sql/­sql-servermilvus.io/­docs/­overview.mddocs.oracle.com/­en/­databasehelp.sap.com/­hana
DeveloperGoogleMicrosoftOracleSAP
Initial release20101989201919802010
Current releaseSQL Server 2019, November 20191.0, March 202119c, February 20192.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C and C++
Server operating systemshostedLinux
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Appliance or cloud-service
Data schemeyesyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.noyesnoyesno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLyesyesnoyes infowith proprietary extensionsyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
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++
Go
Java
Python
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) JavanoPL/SQL infoalso stored procedures in Java possibleSQLScript, R
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationShardingSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnoACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
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-standardnofine grained access rights according to SQL-standardyes

More information provided by the system vendor

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google BigQueryMicrosoft SQL ServerMilvusOracleSAP HANA
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