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DBMS > Google BigQuery vs. Microsoft SQL Server vs. Rockset vs. Sadas Engine

System Properties Comparison Google BigQuery vs. Microsoft SQL Server vs. Rockset vs. Sadas Engine

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRockset  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score0.03
Rank#379  Overall
#156  Relational DBMS
Websitecloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-serverrockset.comwww.sadasengine.com
Technical documentationcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-US/­sql/­sql-serverdocs.rockset.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGoogleMicrosoftRocksetSADAS s.r.l.
Initial release2010198920192006
Current releaseSQL Server 2022, November 20228.0
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemshostedLinux
Windows
hostedAIX
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLyesyesRead-only SQL queries, including JOINsyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP RESTJDBC
ODBC
Proprietary protocol
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
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDno
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 infomanaged by 'Learn by Usage'
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-standardAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standard

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More resources
Google BigQueryMicrosoft SQL ServerRocksetSadas Engine
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