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DBMS > Google BigQuery vs. Memcached vs. Microsoft SQL Server vs. Postgres-XL

System Properties Comparison Google BigQuery vs. Memcached vs. Microsoft SQL Server vs. Postgres-XL

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesIn-memory key-value store, originally intended for cachingMicrosofts flagship relational DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score16.84
Rank#32  Overall
#4  Key-value stores
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Websitecloud.google.com/­bigquerywww.memcached.orgwww.microsoft.com/­en-us/­sql-serverwww.postgres-xl.org
Technical documentationcloud.google.com/­bigquery/­docsgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgres-xl.org/­documentation
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release2010200319892014 infosince 2012, originally named StormDB
Current release1.6.29, June 2024SQL Server 2022, November 202210 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercial inforestricted free version is availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageCC++C
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infoXML type, but no XML query functionality
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesnoyesyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocolADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google BigQueryMemcachedMicrosoft SQL ServerPostgres-XL
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